suneth@portfolio:~$ Hello World, My name is Suneth Ramawickrama, and I am a junior at the University of Maryland, College Park, majoring in Computer Science with a concentration in Machine Learning. I have strong experience in full-stack software development and AI engineering, with proficiency in Python, Java, JavaScript, C++, and C#. My interests focus on developing secure, efficient, reliable, and scalable software systems. I am particularly motivated by the potential of artificial intelligence to drive innovation in sectors such as healthcare and assistive technologies, making a positive impact. When I am not coding, I spent time working out, hooping, and hanging out with my friends. Thanks for visiting and feel free to contact me. Thank you!▋
Experience
>Work Experience
Maryland Department of Transportation (MDOT)
Glen Burnie, MDAI Engineering Intern
July 2025 - September 2025Engineered agentic AI systems with Retrieval-Augmented Generation (RAG) and Model Context Protocol (MCP) integration using LangGraph, CUDA, Ollama, Hugging Face, and Weaviate.
Pinnacle Thrive Solutions Inc.
Columbia, MDSoftware Engineer
June 2025 - August 2025Developed full-stack AI/ML applications using Next.js, Flask, Ollama, and Scikit-learn.
disruptiveOps
Rockville, MDSoftware Engineering Intern
January 2025 - June 2025Contributed to frontend engineering with ReactJS and implemented DevSecOps pipelines using GitLab CI/CD and Microsoft Azure.
DataOpus
Rockville, MDMachine Learning Engineering Intern
January 2025 - June 2025Collaborated on the development and testing of LSTM-based Seq2Seq and generative AI models using TensorFlow/Keras, PyTorch, and Hugging Face.
>Education
University of Maryland
College Park, MDBachelor of Science: Computer Science - Machine Learning Track
Expected Graduation - May 2027Frederick Douglass Scholar
Skills
> Programming Languages
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> Frameworks & Libraries
> Cloud Platforms & Developer Tools
> AI / ML Libraries
Projects
HopHacks 2025 – 1st Place, Healthcare Track: Best Healthcare Hack by Commure. Engineered a computer vision-based eye-wellness assistant that automatically adjusts screen settings through real-time eye tracking, adaptive scaling, automated color themes, and reminder notifications to reduce digital eye strain.
Developed a web application that helps users capture, revisit, and actively recall daily memories through voice recordings and interactive timelines designed to enhance memory retention and emotional well-being, especially for individuals with Alzheimer’s and dementia, by supporting reminiscence therapy and tracking cognitive recall over time.
Developed an AI-powered academic and career platform that offers assignment feedback, personalized course roadmaps, and a smart career guide to help students master in-demand skills, manage time effectively, overcome procrastination, and connect with relevant internships and opportunities.
Lead the development of a full-stack web application for the Montgomery College Biotrain Program, enabling students to create accounts, receive personalized learning paths, and access educational resources. Streamlined the program’s application process by handling 50+ user queries monthly, saving up to 25 hours of manual work.