Name: Aditya Kulkarni

Pronouns: He/Him

Semester of Internship: Summer 2025

Major: Computer Science 

Current Class Level: Master's Student 

This semester I completed a(n)...: Internship

Internship, Co-op, or Research Site (Company/Organization Name): Brillio LLC

Location of the Organization (City, State): Remote

Title of position: AI Engineer Intern

Tell us about your internship, co-op, or research opportunity, including your day-to-day responsibilities:

During my internship as an AI Engineer at Brillio, I was part of a team working on building an automated customer care system leveraging Generative AI. My day-to-day responsibilities involved integrating Figma with a React-based application to streamline how customer interactions were captured and processed. I developed workflows that automatically extracted file IDs and node IDs from FigJam URLs, enabling seamless retrieval and processing of customer journey maps. I also worked on setting up automated surveys within FigJam, which generated structured user stories that will later serve as training data for AI models powering the customer care platform. Additionally, I explored the potential of AWS Bedrock and its foundation models for future deployment, documenting how they could enhance scalability and efficiency for the project. Beyond the technical aspects, I collaborated with the design and development teams, managed local plugins, and gained experience in using tools like Figma for product integration. This role allowed me to build a strong foundation in AI-driven application development while contributing to a project with meaningful real-world applications in the healthcare domain.

Describe the process of obtaining your position. When did you hear of the position and submit your application?

I obtained my internship at Brillio through proactive networking and outreach on LinkedIn rather than a traditional job portal. I came across the opportunity while exploring AI-related roles and decided to directly connect with professionals at Brillio to learn more about the company's work in Generative AI. Through these conversations, I was able to understand how my background in process engineering and programming could align with their projects. After establishing those connections, I was encouraged to apply and submitted my application in early May 2025. This was followed by an interview process where I discussed my technical skills, problem-solving ability, and interest in AI-driven automation. Shortly after, I received an offer and officially started my internship in July 2025.

What resources did you use to find your current experience?

LinkedIn or other social media

What have you enjoyed the most about your position and organization?

What I enjoyed the most about my internship at Brillio was the opportunity to work on a project that had both real-world relevance and future scalability. I particularly valued the collaborative environment, where I was able to interact closely with cross-functional teams including designers, developers, and AI specialists. This not only exposed me to diverse perspectives but also helped me understand how different pieces of a project come together to build an end-to-end solution. I found it rewarding to see my contributions—such as integrating Figma with the React application and setting up automated workflows—directly add value to the larger project vision of creating an AI-driven customer care platform. Additionally, the organization fostered a culture of continuous learning, where I had the flexibility to explore emerging tools like AWS Bedrock and gain exposure to cutting-edge AI applications. Overall, the combination of technical growth, teamwork, and the chance to contribute to a meaningful innovation made the experience both enjoyable and enriching.

How do you believe you have made an impact through your work?

I made an impact through my work at Brillio by helping lay the foundation for an AI-driven customer care platform that can eventually transform how organizations interact with their clients. By linking Figma with the React application and creating workflows to capture and process user journey maps automatically, I streamlined a process that would have otherwise required manual intervention. Setting up automated surveys within FigJam that generated structured user stories also provided the project team with a scalable method of building training data for future AI models. These contributions not only saved time for the design and development teams but also ensured that the project moved one step closer to achieving its long-term vision of an entirely automated customer center. Beyond the technical work, I contributed to documentation and knowledge-sharing, which will help the team continue building upon the systems I helped integrate. While my internship was short, the tools and processes I implemented will have lasting value for the project.

What advice would you give to another student who is seeking an internship or similar experience?

My advice to another student seeking an internship or similar experience would be to focus on proactive networking and showcasing genuine curiosity about the work being done at an organization. Many opportunities don't come solely through job portals but through reaching out directly to professionals on platforms like LinkedIn, starting conversations, and demonstrating how your skills align with their projects. It's also important to tailor your application materials to highlight both your technical expertise and your ability to work collaboratively, since employers value problem-solving and communication as much as hard skills. During the internship, stay open to learning beyond your immediate tasks—sometimes exploring a new tool or contributing to documentation can make a lasting impact. Finally, don't hesitate to ask questions and seek feedback; showing initiative and a willingness to learn often leaves a stronger impression than having all the answers.

Please provide a short reflection or quote about what you liked most about your position / earning internship credit / working with the Career Center.

I really enjoyed the collaborative environment at Brillio, where I could see my work directly contributing to an impactful AI-driven project. The Career Center's guidance on refining my application materials and networking strategies gave me the confidence to reach out on LinkedIn and ultimately secure this opportunity.

Graduate school can be rewarding, but it can also feel overwhelming at times. Join the Graduate Student Support Group to connect with fellow grad students in a safe, confidential, and supportive space. This group is designed to help you ask questions, talk through challenges, explore solutions, and work toward your personal and academic goals alongside peers who get it.

When? Tuesdays | February 17 – April 28 | 3:00 – 4:30 p.m.
Where? Virtual, scan the QR code 

All graduate students are welcome to participate.

To learn more or get started, call 410-455-2542 or visit your RetrieverCare portal to schedule an initial consultation appointment.

This program is open to full participation by all individuals in accordance with UMBC's nondiscrimination policies. 

On Monday, February 2, we will host Dinner with Friends, an engaging, facilitated conversation that will connect you with other members of the UMBC community. 

Our conversations will be focused on two interrelated questions:

1. "How do you live your values in community?"

2. "How do you live a life that sustains you?"

We will explore challenges with thriving, share resources to support thriving, and generate ideas about how we, as a UMBC community, can improve thriving on campus.

This program, as a part of Winter Welcome Retrievers, will take place on February 2, 2026 from 5:30 - 7:30 p.m. in the University Center, UC 312. A catered dinner will be provided.

This program is a collaboration between the Center for Democracy and Civic Life and Student Belonging.

Please RSVP by January 28, 2026 to reserve your seat at this popular dinner program!

Dear UMBC Community,

Due to continuing inclement weather conditions in our area, UMBC's physical campus will remain closed until 5 a.m. Wednesday, January 28, 2026. 

All in-person and remote (synchronous) classes will begin on Wednesday, January 28, unless further closings or delays are announced. Instructors are asked to be flexible about class attendance on Wednesday as some students may still be returning due to weather conditions in their areas. Asynchronous online classes will occur as scheduled.

Residential students will receive additional instructions from the Office of Residential Life via email regarding changes to move-in, dining options, and other support services. 

Today marks the start of the spring semester at UMBC. All employees should refer to the Guidance for Employees section and matrix at the bottom of the Inclement Weather and Emergency Closing Guide. If you have a telework or remote agreement you should work virtually (unless arrangements have been made with your supervisor). We ask that supervisors be flexible as conditions change and responsibilities vary; allowing an adaptable schedule or liberal leave for employees who are working virtually is appropriate. Your safety is our top priority.

Thank you to the many campus employees who have worked so diligently this weekend to clear the campus and to take care of our students. 

Sincerely,

Manfred H. M. van Dulmen 
Provost and Senior Vice President for Academic Affairs 

Lynne Adams
Associate Vice President and Chief Human Resources Officer

UMBC's Center for Social Science Scholarship will hold a workshop series this Spring on generative AI, LLMs, and computational social science methods. Sessions will focus on familiarizing faculty and students with deploying AI and LLM models in their research and on developing a deeper understanding of the ethical, equity, and environmental consequences of these models.

February 20 | 12-1:30pm | PUP 438
Social Network Analysis: Building Web-Based Applications for Experiential Learning
Dr. Steve McDonald, Professor of Sociology, NC State University

February 27 | 12-1:30pm | PUP 438
A City in Motion: How Everyday Routines Channel and Control Crime in Baltimore
Dr. Brian Soller, Associate Professor of Sociology (SAPH), UMBC 

March 25 | 12-1:30pm | PUP 438
Geospatial Analysis
Krishna Mummadi, CS3 Graduate Assistant & GES Graduate Student

April 14 | 2-4pm | Walker Avenue, Suite 130 (Hybrid)
Foundations of Large Language Models
Dr. Josephine Namayanja, Executive Director, iHARP, UMBC
Rhoda Nankabirwa, iHARP Research Assistant and PhD Student, UMBC

April 22 | 12-1:30pm | Webex
Equity in Algorithms
Dr. Kayla Schwoerer, Assistant Professor of Public Administration, Vrije Universiteit, Amsterdam

April 29 | 12-1:30pm | Webex
Evaluating LLMs for Credible and Rigorous Social Science Research
Dr. Michael Overton, Associate Professor of Political Science and Public Administration, University of Idaho

May 1 | 12-1:30pm | PUP 438
ML Models for Causal Inference Analysis + HPC
Dr. Eric Stokan, CS3 Director and Associate Professor of Political Science, UMBC; Roy Prouty, Assistant Director for Research Computing, DoIT; Ph.D. Candidate, Computer Science, and Sai Vikas Amaraneni, iHARP Research Assistant & Ph.D. Student

Register for sessions here