For many organizations, an Amazon Web Services (AWS) Competency is table stakes. In fact, Canalys released a report revealing that organizations with AWS Specializations, including competencies, unlock $315 billion in customer spending. Moreover, 87% of customers surveyed ranked specializations among the top three selection criteria. For the Amazon Partner Network (APN) partners that achieve these designations, it signifies their expertise, commitment to industry best practices, and ability to deliver solutions seamlessly on AWS. For competency partners, it also presents new opportunities to leverage AWS resources to empower their customers as they migrate to the cloud and accelerate technology adoption.
Migration Incentives
An AWS Competency more than differentiates partners based on their expertise and experience. It also opens up new opportunities to support customer modernization efforts. A 2022 Canalys Partner Ecosystem Multiplier study found that for every dollar of AWS infrastructure sold, there is up to $6.40 available to partners to deliver services to customers.
For example, Karsun achieved its AWS Migration Competency in 2021. As a result of this designation, Karsun teams could use AWS Migration Acceleration Program (MAP) resources. This comprehensive program packages best practices, tools, expertise, and financial incentives to make cloud adoption easier. When applicable, Karsun implements these financial incentives as part of its Cloud Runways toolkit, which accelerates cloud migration through fit-to-purpose transformation playbooks. These enable incremental migrations that adapt to unique customer requirements and constraints.
Technology Acceleration
A government information technology contractor with more than a decade of experience serving U.S. government agencies, Karsun achieved its Government Competency status in 2019. The competency differentiates AWS Partner Network (APN) members serving government agencies with deep domain expertise in security and compliance, in addition to innovative cloud solutions that leverage AWS services.
In a recent video, Karsun Innovation Center Senior Vice President Badri Sriraman shares his experience integrating emerging technology with the resources available to AWS government competency partners. Filmed at the AWS Washington, D.C. Summit Government Competency Leadership Circle, Sriraman discusses how his team used tools from AWS to accelerate Karsun’s AI toolkit, ReDuX AI. Powered by AWS Bedrock, ReDuX AI uses analysis generative AI to perform code analysis, provide recommendations, and generate code for teams working on mainframe modernization projects. To learn more about ReDuX AI, visit GoReDuX.AI.
In addition to migration and technology benefits, competency partners have access to specialized training, industry events, and support from AWS experts. Partners with AWS Specializations have a wealth of opportunities to support their customers’ modernization ambitions. Overall, the partners that have obtained AWS Competencies significantly enhanced their ability to deliver high-quality AWS solutions.
Karsun is among those partners using the full range of resources available to it as it serves its agency customers. It elevates agency capabilities through modern software development, cloud, data, and AI solutions. Its cloud portfolio offers a full suite of solutions, including hybrid architecture, platform buildout, and application migration. It has AWS Government, Migration, and DevOps Competencies and is a Well-Architected Partner. To dive into Karsun’s complete cloud solutions portfolio, visit https://karsun-llc.com/solutions/cloud-solutions/.
Our Karsun Innovation Center (KIC) Interns explore complex modernization problems, experiment with emerging technology such as artificial intelligence (AI), and engage with experts on our research and development team. Every summer, we feature our interns’ work on the Karsun website. In this interview, Computer Science student Samhita Kumar shares her experience with the AI code pairing tools included in Karsun’s ReDuX AI, front-end design using component libraries, and task management automation.
Finding Her Next: Software Development, Cryptography and AI Innovation
First, please tell us about yourself. Where are you going to school? What are you studying? What do you like to do in your free time?
Samhita: I’m Samhita, a rising sophomore at Yale University studying computer science. In my free time, I enjoy reading, visiting museums, and baking. I’m also part of my school’s moot court team and love learning about Constitutional law.
What do you want to do after this internship? What are your career goals?
Samhita: I hope to build on the skills I’ve acquired while here, and to apply my knowledge to real-world problems. I aim to pursue opportunities in software development and cryptography, and to continue working with new innovations like ReDuX.
Full Stack Development and Generative AI
Karsun’s ReDuX AI uses generative AI to make code, data, and access control recommendations. In addition to their work exploring the use of AI for modern software development, we also challenged our interns to identify and propose enhancements to our AI toolkits. Samhita applied her full stack development skills to this challenge.
Could you share a little bit about the project you worked on as part of this internship? What challenge does it solve? What technologies and tools are you using?
Samhita: I have primarily been working with KIC’s ReDuX AI code pair tool, AppPilot. I used Java SpringBoot, PostgreSQL, Podman, Testcontainers, Nx, React, and Jest to build a full-stack project while testing AppPilot. My front-end design pulled in several component libraries such as Metrostar Comet. I also created a Task Manager project with CRUD functionality and user accounts to strengthen my understanding of the technology stack. Finally, I helped find and resolve defects within AppPilot.
Flexibility, Adaptability, and Innovation
What is your favorite part about working with the Karsun Innovation Center? Is there a weekly meeting or ritual you enjoy? The opportunity to learn more or get a new certification?
During our biweekly “Show, Don’t Tell” meetings, I’ve been able to learn about the projects that the Karsun Innovation Center is working on. It has been amazing to explore so many different technologies and to see the different approaches that can be taken to address blockers.
What is your biggest takeaway from your experience as an intern at Karsun?
It is definitely the importance of flexibility. I’ve gained so much practical experience and observed how unexpected issues can arise at any moment. To tackle these challenges, I learned to remain adaptable and prepared for anything. This approach has proven incredibly helpful, and it’s one I will definitely carry forward in my career.
Samhita worked alongside Karsun Innovation Center experts throughout her internship program. Discover how Karsun experts are modernizing for every next in our Innovation Center by accelerating transformation with the ReDuX AI toolkit.
Our Karsun Innovation Center hosts future technology experts every summer for our annual internship program. Computational Modeling and Data Analytics student Namrata Hari joined this year’s class to advance her data science skills while diving into complex, innovative projects. In this interview, she shares her experience in the Innovation Center environment, contributing to center projects and uncovering her path to finding her next.
Finding Her Next: Data Science to Social Impact
First please tell us about yourself. Where are you going to school? What are you studying? What do you like to do in your free time?
Namrata: Hi, I am Namrata! I am a rising sophomore studying Computational Modeling and Data Analytics at Virginia Tech, with a minor in Computer Science and Mathematics. During my free time, I enjoy dancing, singing, and watching movies.
What do you want to do after this internship? What are your career goals?
Namrata: After completing this internship, I aim to participate in professional events and conferences to enhance and sustain my networking skills. My career aspiration is to become a data scientist focusing on complex data projects that extract valuable insights and foster social impact.
Building the Future of AI Accelerated Modernization
In addition to researching and developing solutions with emerging technologies, the Karsun Innovation Center builds toolkits for our teams using these evolving solutions, industry best practices and under guidance from industry experts. One of these toolkits is ReDuX AI, a set of tools and practices for AI accelerated modernization. As part of her internship, Namrata worked with the team developing future enhancements to this toolkit.
Could you share a little bit about the project you worked on as part of this internship? What challenge does it solve? What technologies and tools are you using?
Namrata: Throughout the initial weeks of the internship, I focused on developing a task management application using Java Spring Boot and React. This project has been valuable in preparing us for upcoming tasks.
Namrata: The primary focus of my work during this internship has been testing ReDuX AI. Working within teams, we were assigned stories to complete through the use of AppPilot. During this project, we utilized Nx, Spring Boot, Postgres, Flyway, Podman, React, Comet, and Jest. Throughout this process, we were able to assess the memory, user interface, and overall user experience of the AI bot. Upon completing this project, we began addressing the defects we had previously identified.
The Innovation Center Environment
What is your favorite part about working with the Karsun Innovation Center? Is there a weekly meeting or ritual you enjoy? The opportunity to learn more or get a new certification?
Namrata: My favorite part about working with KIC is the supportive environment that I am constantly surrounded by. I enjoy seeing the work done on the projects I always hear about during our daily stand-up meetings in Show Don’t Tell. The questions asked during Show Don’t Tell helped me learn and develop my skills by showing me what questions should be asked and how to answer them. I appreciate being in an environment where I can always learn something new, no matter what.
What is your biggest takeaway from your experience as an intern at Karsun?
Namrata: My biggest takeaway from my experience at Karsun is understanding industry dynamics. I had the opportunity to gain first-hand exposure to the inner workings of the field, including observing how various challenges are tackled and identifying best practices. This experience has been instrumental in expanding my knowledge and expertise in the industry and has significantly contributed to my professional growth and development.
Namrata worked alongside Karsun Innovation Center experts throughout her internship program. Discover how Karsun experts are modernizing for every next in our Innovation Center, among our data solutions teams, and as they use our ReDuX AI toolkit.
Recording live from the AWS Summit Washington, D.C., Karsun’s Badri Sriraman sits down with John Gilroy and the Federal Tech Podcast to discuss all things AI, accelerating legacy systems modernization and hyperlocal contextualization. Badri is the Vice President of the Karsun Innovation Center. Here, teams work to eliminate or reduce friction for the agencies modernizing their legacy systems. As part of that work, they developed ReDuX AI, a toolkit using AI resources to address common issues related to modernizing these older, more complex legacy systems. Throughout the interview, Badri and John discuss the costs and security risks associated with staying on current systems and the opportunity for AI to provide insight through hyperlocal contextualization to tackle these challenges.
Addressing the O&M Problem
The interview begins by acknowledging the drag aging infrastructure has on these agencies’ enterprise systems. The issue becomes intractable when operations and maintenance (O&M) costs become so high they take up the budget that would otherwise be used for modernization and systems enhancements. A 2023 Government Accountability Office (GAO) report examined the 10 critical systems it identified most in need of modernization. Some of those systems were over 50 years old and, in total, cost the government upwards of $337 million annually to operate and maintain.
In addition to the O&M costs, complex relationships between different systems components, older programming languages like COBOL, and outdated documentation all contribute to the difficulty of modernizing mission-critical legacy systems like those studied. As Badri reveals in the interview, artificial intelligence (AI) can be used to address many of those concerns. Moreover, those same AI tools may accelerate the transition, further reducing O&M costs as agencies move away from these legacy systems.
Eating the Elephant
In the interview, Badri shares a key component of Karsun’s AI-accelerated modernization methodology, hyperlocal contextualization. In a traditional modernization project, teams typically take an incremental approach. To “eat the elephant,” teams go one step at a time, optimizing as they modernize to reduce costs. The analysis required to peel away each part of the legacy system could slow down modernization to a yearslong process in highly complex systems. Throughout the process, these teams must untangle how different parts of the system integrate and work together.
Alternatively, using AI teams still move incrementally, avoiding the pitfalls of Big Bang Modernization. However, they also use AI to identify and map these relationships within legacy systems. This AI assistance helps those teams move at a rapid pace. Working together with the human team and stakeholders, the AI can quickly create a fuller understanding of the system, its impact on the mission and provide new insights into optimization opportunities during the modernization process. This analysis is the first step in using AI for hyperlocal contextualization.
The Security Imperative
An equally pressing concern is rising security threats. The 2023 GAO report found among the chief concerns for these aging systems were outdated hardware and security vulnerabilities. The same processes that help modernization teams optimize to reduce O&M costs can also be used to move from less secure systems to more secure systems based on industry standards and best practices.
Jumping in with Hyperlocal Contextualization
With more advanced large language models (LLMs), AI tools cannot only write the code but also review, debug, and make recommendations. Powered by AWS Bedrock, ReDuX AI not only takes the insights from its eat the elephant analysis but also makes recommendations to Karsun developers using the context generated from those insights. Plus it can then incorporate best practices and security policies into those recommendations. Using a tool like ReDuX AI, the security optimization recommendations are customized to the complexities found in that legacy system, resulting in a modernization process designed to optimize costs and security. Badri discusses this hyperlocal contextualization in greater depth in the interview.
The future is bright. In a 2019 report, the GAO shared agencies provided 94 examples of successful modernization initiatives over the five years studied. While some of the most challenging projects remain, AI tools, like those used by ReDuX, create a future where the remaining mission-critical systems modernize a possibility. Check out the full interview at www.theoakmontgroupllc.com/ep-161-how-to-overcome-the-challenge-of-legacy-systems/ or visit GoRedux.AI to learn more.
Meet Luca Moukheiber. A rising college sophomore, he is a member of the 2023 Karsun Innovation Center Internship Program. He worked alongside artificial intelligence (AI), federal acquisitions and data solutions experts as part of a project team developing a federal contracts management proof of concept. In the interview below, we learn more about Luca, his project using a Large Language Model to generate code and his favorite parts about working with our Innovation Center.
First please tell us about yourself. Where are you going to school? What are you studying? What do you like to do in your free time?
I am an Echols Scholar about to start my second year at the University of Virginia, where I am majoring in computer science. I enjoy hiking, biking, paddle boarding, and playing the guitar in my free time.
Could you share a little bit about the project you worked on as part of this internship? What challenge does it solve? What technologies and tools are you using?
As part of the Karsun initiative to explore the integration of generative AI into application development, I developed a file attachment feature used in a proof of concept application using Large Language Model (LLM) technology to generate code for certain parts of my project. I created a custom interface for users to upload, view, or delete documents as part of a reporting system. My project solves the challenge of improving efficiencies and reducing costs associated with federal contract management. This task involved working on both the front and back end to store documents in a database and the cloud. Leveraging AI to reduce manual code writing reduces development time and improves efficiency. The technologies that I used in this project were GPT-4, Angular, Spring Boot, Postgres, AWS S3, LocalStack, Jest, Nx, Flyway, and Podman.
What is your favorite part about working with the Karsun Innovation Center? Is there a weekly meeting or ritual you enjoy? The opportunity to learn more or get a new certification?
My favorite part of working in the Innovation Center is having the opportunity to develop cutting-edge solutions to novel problems. The projects evolve rapidly, with ample space for creative thinking and problem-solving. I appreciate Karsun’s emphasis on intern learning. I am currently studying to become certified as an AWS Developer Associate.
What is the biggest takeaway from your experience as an intern at Karsun?
My biggest takeaway is that keeping an open mind, being adaptable, and continuously learning are core software development skills. I came in with no Angular experience, and understanding how everything worked together in the codebase was difficult at first. However, by taking courses, I saw how the material I learned applied to the real project I was working on, enabling me to build my own feature. There were also situations where I had to change my approach because I ran into blockers, which took me extra time to figure out but strengthened my problem-solving abilities.
Luca’s internship was supported by the Karsun Solutions Innovation Center Practice Areas. Learn more about Karsun’s Acquisitions Management Modernization solutions. Connect with Luca on LinkedIn.
Every summer Karsun embeds interns in our Innovation Center to work alongside our technology experts, prototyping solutions to support our customers. 2022 Intern Akhilesh Varanasi used synthetic data to address a common privacy concern, personally identifiable information (PII.) Using synthetic data, an artificial set of data is created to perform ML/AI work preventing exposure of sensitive PII. In the interview below, Akhilesh describes his experience in the Karsun Innovation Center and his synthetic data internship project.
First, please tell us about yourself. Where are you going to school? What are you studying? What do you like to do in your free time?
Hi all! My name is Akhilesh Varanasi. I’m currently a rising junior at the University of Washington in Seattle, where I’m a double major in Computer Science and Astronomy. In my free time, I like reading and playing basketball.
Could you share a little bit about the project you worked on as part of this internship? What challenges does it solve? What technologies and tools are you using?
For most of my internship, I worked on the Synthetic Data project. The purpose of this project was to create PII anonymized ‘fake’ data for Machine Learning/Artificial Intelligence use cases. I mostly worked with Python, the Synthetic Data Vault libraries, and graphing frameworks like matplotlib. My main tasks were to create accurate Synthetic Data models and to find generic ways to graphically represent all forms of tabular data. I also worked with AWS Lambda and the AWS CLI to run tests.
What is your favorite part about working with the Karsun Innovation Center? Is there a weekly meeting or ritual you enjoy? The opportunity to learn more or get a new certification?
My favorite parts of working at the Karsun Innovation Center were the input I had in the development process and the team I worked with. I always felt like my opinion was respected at meetings, even in a room full of people that were far more experienced than me. I also had a great time working with the team, everyone was so willing to help each other and it felt like a comfortable, collaborative environment.
What is the biggest takeaway from your experience as an intern at Karsun?
My biggest takeaway from my experience at Karsun is that taking initiative is important. To be a valuable part of a team I have to research topics by myself and come up with goals to structure my approach to a problem.
Akhilesh was mentored by Srikanth Devarajan, Director, Karsun Innovation Center Data Practice.
Every summer Karsun embeds interns in our Innovation Center to work alongside our technology experts, prototyping solutions to support our customers. 2022 Intern Akhilesh Varanasi used synthetic data to address a common privacy concern, personally identifiable information (PII.) Using synthetic data, an artificial set of data is created to perform ML/AI work preventing exposure of sensitive PII. In the interview below, Akhilesh describes his experience in the Karsun Innovation Center and his synthetic data internship project.
First, please tell us about yourself. Where are you going to school? What are you studying? What do you like to do in your free time?
Hi all! My name is Akhilesh Varanasi. I’m currently a rising junior at the University of Washington in Seattle, where I’m a double major in Computer Science and Astronomy. In my free time, I like reading and playing basketball.
Could you share a little bit about the project you worked on as part of this internship? What challenges does it solve? What technologies and tools are you using?
For most of my internship, I worked on the Synthetic Data project. The purpose of this project was to create PII anonymized ‘fake’ data for Machine Learning/Artificial Intelligence use cases. I mostly worked with Python, the Synthetic Data Vault libraries, and graphing frameworks like matplotlib. My main tasks were to create accurate Synthetic Data models and to find generic ways to graphically represent all forms of tabular data. I also worked with AWS Lambda and the AWS CLI to run tests.
What is your favorite part about working with the Karsun Innovation Center? Is there a weekly meeting or ritual you enjoy? The opportunity to learn more or get a new certification?
My favorite parts of working at the Karsun Innovation Center were the input I had in the development process and the team I worked with. I always felt like my opinion was respected at meetings, even in a room full of people that were far more experienced than me. I also had a great time working with the team, everyone was so willing to help each other and it felt like a comfortable, collaborative environment.
What is the biggest takeaway from your experience as an intern at Karsun?
My biggest takeaway from my experience at Karsun is that taking initiative is important. To be a valuable part of a team I have to research topics by myself and come up with goals to structure my approach to a problem.
Akhilesh was mentored by Srikanth Devarajan, Director, Karsun Innovation Center Data Practice.
Every summer Karsun embeds interns in our Innovation Center to work alongside our technology experts, prototyping solutions to support our customers. 2022 Intern Akhilesh Varanasi used synthetic data to address a common privacy concern, personally identifiable information (PII.) Using synthetic data, an artificial set of data is created to perform ML/AI work preventing exposure of sensitive PII. In the interview below, Akhilesh describes his experience in the Karsun Innovation Center and his synthetic data internship project.
First, please tell us about yourself. Where are you going to school? What are you studying? What do you like to do in your free time?
Hi all! My name is Akhilesh Varanasi. I’m currently a rising junior at the University of Washington in Seattle, where I’m a double major in Computer Science and Astronomy. In my free time, I like reading and playing basketball.
Could you share a little bit about the project you worked on as part of this internship? What challenges does it solve? What technologies and tools are you using?
For most of my internship, I worked on the Synthetic Data project. The purpose of this project was to create PII anonymized ‘fake’ data for Machine Learning/Artificial Intelligence use cases. I mostly worked with Python, the Synthetic Data Vault libraries, and graphing frameworks like matplotlib. My main tasks were to create accurate Synthetic Data models and to find generic ways to graphically represent all forms of tabular data. I also worked with AWS Lambda and the AWS CLI to run tests.
What is your favorite part about working with the Karsun Innovation Center? Is there a weekly meeting or ritual you enjoy? The opportunity to learn more or get a new certification?
My favorite parts of working at the Karsun Innovation Center were the input I had in the development process and the team I worked with. I always felt like my opinion was respected at meetings, even in a room full of people that were far more experienced than me. I also had a great time working with the team, everyone was so willing to help each other and it felt like a comfortable, collaborative environment.
What is the biggest takeaway from your experience as an intern at Karsun?
My biggest takeaway from my experience at Karsun is that taking initiative is important. To be a valuable part of a team I have to research topics by myself and come up with goals to structure my approach to a problem.
Akhilesh was mentored by Srikanth Devarajan, Director, Karsun Innovation Center Data Practice.
Manish Bhatia from Karsun Solutions Cloud Practice joins two communities affiliated with the American Council for Technology and Industry Advisory Council (ACT-IAC.) A non-profit organization, ACT-IAC connects the IT industry with government leaders. Bhatia will join ACT-IAC’s Intelligent Automation Working Group and the Igniting Innovation selection committee.
Bhatia joined the Intelligent Automation Working Group. The group is part of ACT-IAC’s Emerging Technology Community of Interest. Group members are charged with assessing the current state of innovation then creating industry recommendations.
Bhatia was also recently selected to evaluate the nominations for ACT-IAC’s annual Igniting Innovation Conference and Awards. The 2019 conference will be held May 23 at the Renaissance Washington, DC and feature keynotes, panels and talks by senior government leaders. Exhibitors are competitively selected by this committee. The 40 exhibitors represent cutting-edge public sector IT innovations.
Bhatia represents Karsun’s collaborative spirit within the IT contracting industry. Karsun routinely participates in ACT-IAC’s fellowship and professional development programs, both as mentee and mentor. Sudhir Duggineni is a member of the 2019 Voyager Class and Shaunak Ashtaputre was recently selected for the 2019 Partner Class. Additionally, Karsun Chief Operating Officer Terry Miller is the industry chair for ACT-IAC’s Partner Program.
The federal IT modernization experts, Karsun Solutions enables enterprise transformation for its government customers. Premier customers include the Department of Homeland Security, Federal Aviation Administration, and General Services Administration. An innovation-based and performance-driven culture, Karsun Solutions delivers extraordinary outcomes for their customers. Karsun Solutions is an established firm, with a DCAA Approved Accounting System, CMMI Level 5 – DEV appraisal, and ISO 9001, ISO 20000 and ISO 27001 certifications. Partnering with Karsun Solutions ensures the nimbleness, agility, and access to decision makers of a small business without sacrificing the scalability, capabilities, and experience in modern software development, cloud solutions and advanced analytics of a large firm.