With National Data Privacy Week upon us, we reflect on the shifting data environment. From concerns surrounding artificial intelligence (AI) to an evolving threat environment, there is as great a need as ever to be mindful in our approach to protecting data. Our Karsun Innovation Center experts have met this challenge producing new solutions to address future requirements.
Our teams have a long history of incorporating emerging technologies into our data solutions. We build data platforms that produce meaningful insight while protecting sensitive data. Whether that occurs through machine learning (ML) for business intelligence or incorporating well-architected practices into our data-led migration. Moreover, many of these novel solutions incorporate machine learning and AI to further enhance data privacy.
Utilizing Synthetic Data
Synthetic data enables enterprise data teams to innovate securely. This data is produced through machine learning using models that learn the patterns, structures, and relationships within the real dataset. Next, artificial, or synthetic, data is produced with similar statistical properties to the original data set. Thus, this process masks sensitive data, such as personally identifiable information (PII).
By providing high-quality datasets that mirror real-world data without exposing this data, synthetic data minimizes privacy risks, supports compliance with regulations like HIPAA, and reduces the impact of data breaches. Meanwhile, by allowing safe data sharing and model training, synthetic data accelerates AI and analytics development while ensuring ethical data practices, making it a powerful tool for balancing privacy and innovation. Introducing strong synthetic data practices can be one of the steps organizations can take to prepare their data for an AI-enhanced future.
Security Automation
We can apply both predictive AI and generative AI (GenAI) and enhance organizations’ security posture by strengthening their security automation. While predictive AI identifies threats, GenAI creates new pathways to addressing security concerns. GenAI is particularly well suited to automating security. When incorporated into an AI-powered platform, it enhances safety culture by applying guardrails, best practice policies, templates, and automations that proactively address security concerns. GenAI further enhances security through its self-healing mechanisms that assess threats and then incorporate those assessments into its policy recommendations.
GenAI to Meet Regulatory Requirements
GenAI also offers significant potential for meeting regulatory requirements as modernization teams migrate legacy systems. We have written about this extensively on the ReDuX website. ReDuX is our AI-powered platform that accelerates mainframe modernization. One component of that platform is a mapping feature that builds a blueprint of the legacy system. With an enhanced understanding of the legacy system, the team avoids security pitfalls, identifying functional code while removing dangerous dead code and reducing the risks and errors. Moreover, using a platform with built resources allows teams to introduce guardrails like those used to improve security automation.
Bringing It Together
Consider then a data project where each of these methodologies is included as part of a robust data practice. First, synthetic data is produced using machine learning. When combined with AI-assisted development, like that used by ReDuX, the security automation guardrails enforced by the AI-powered platform ensure proper security tools and practices, including those applied to synthetic data, are used properly every time. Then, as AI practices evolve, they are refined further.
AI/ML helps technology teams navigate complex regulatory landscapes, including compliance with standards like HIPAA, FISMA, and GDPR, to ensure data privacy and system security. By adopting an AI-enhanced approach, agencies can protect privacy, overcome regulatory challenges, and maintain secure and resilient applications to align with their data goals. To learn more about emerging technology from the Innovation Center, visit our Projects Page or take the first step on your data modernization journey and connect with us on our Data Solutions Page.
This summer, our Karsun Innovation Center was filled with excitement as our intern cohort tackled AI research and development projects. These talented students addressed real-world challenges and contributed to our cutting-edge AI toolkits and resources. As we conclude 2024, we highlight below the exceptional work done by our interns, with a focus on their projects and the skills they honed while with our modernization experts.
Embracing Real-World Challenges
From their first day in our Herndon, Virginia offices, our interns were exposed to complex problems that demanded innovative solutions. Namrata Hari, a Computational Modeling and Data Analytics student, applied her knowledge to develop a task management application using Java Spring Boot and React. Her project prepared her team for upcoming tasks and equipped them to handle the intricacies of modern software development. Namrata’s primary focus during her AI internship was on testing ReDuX, a toolkit for AI-accelerated modernization. She and her team assessed memory, user interface, and overall user experiences, identifying and addressing defects to improve the AI bot’s functionality.
Pioneering AI Solutions with ReDuX AI
Another inspiring story comes from Samhita Kumar, a rising sophomore at Yale University. Samhita leveraged the ReDuX toolkit for her projects, particularly the AI code generation capabilities included in AppPilot. She combined various tools—Java Spring Boot, PostgreSQL, Podman, and React, among others—to build full-stack projects and refine her understanding of AI applications. Her work involved proposing enhancements to ReDuX and resolving defects within the AppPilot’s frontend design. Samhita’s contributions are an excellent example of AI internships at the Karsun Innovation Center pushing the boundaries of modern software development.
Enhancing User Experience through Full-Stack Development
Manojdeep Dakavaram‘s internship was a blend of full-stack development and problem-solving. A master’s student in computer science, he worked on multiple projects, including a centralized task management system and automating user access to Karsun’s O’Reilly virtual training library. His efforts improved user experiences by addressing critical bug fixes and developing new features in the React front end of AppPilot. Manojdeep’s work showcased the powerful impact of meticulous development and technology integration.
Data Management and Visualization Innovations
Pravalika Gollapudi, a Master’s student at Arizona State University, concentrated on data management and dashboards. She developed a CRUD application and a React dashboard, which streamlined data interactions and improved presentation reliability through rigorous testing. Pravalika’s role also involved conducting data quality analysis, ensuring data integrity and reliability. Her projects underscored the pivotal role data plays in modern AI and software systems.
Automation and Streamlined Workflows
The importance of automation and workflow optimization was highlighted by Visvajit Murali’s contributions. A student from the University of Virginia, Visvajit utilized technologies like PostgreSQL, Spring Boot, and Docker to automate tedious tasks, enhancing user experiences and system efficiency. His work illustrated how automating repetitive tasks can drive productivity and innovation.
Advancing with Generative AI
Generative AI continues to be a game-changer in the tech industry, as evidenced by the work of our interns and our ReDuX mainframe modernization team. The Karsun Innovation Center challenged these students to explore and propose enhancements to our AI toolkits. This focus on generative AI was epitomized by their efforts in developing and refining AI-driven code generation tools, which promise to accelerate and streamline modernization processes effectively.
Lessons and Growth from Internship Experiences
The professional growth of our interns was significantly influenced by their experiences at the Karsun Innovation Center. Daily interactions with seasoned experts, regular “Show Don’t Tell” meetings, and hands-on projects provided them with invaluable industry insights. Interns like Namrata and Manojdeep highlighted the benefits of a collaborative and supportive environment, while others, such as Pravalika and Visvajit, emphasized the importance of continuous learning and adaptability.
This summer, our interns at the Karsun Innovation Center not only contributed to the development of AI solutions but also grew as professionals poised to lead the next wave of innovation. Their stories serve as testaments to the power of immersive learning and the impact of forward-thinking, supportive mentorship. As we look ahead, we are excited to see how these budding experts will shape the world of AI and technology. Check out our Innovation Center Projects to learn more about ReDuX and other emerging technology projects from our research and development team.
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.
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.