About Me

I am a senior undergraduate student at the Massachusetts Institute of Technology (MIT) pursuing Computer Science.

As a Computer Science major specializing in Artificial Intelligence & Decision Making at MIT with hands-on experience in AI engineering, software development, and data analysis, I am eager to leverage my technical skills and collaborative mindset to contribute to innovative projects.

I worked as an AI Engineer Intern at IBM, co-creating and deploying solutions on the watsonx platform with generative AI, agentic AI, large language models, and multi-agent orchestration engines. By working closely with clients and cross-functional teams, I translated business needs into actionable technical solutions, ensuring smooth project delivery and measurable business value.

Previously, I strengthened my data science capabilities at the Foundation for Resilient Societies, building an end-to-end data pipeline for U.S. power plant analytics. My machine learning contributions effectively forecasted outage risks, supporting real-world energy infrastructure decisions. As an Electrical Engineering Intern at CDM Smith, I combined engineering fundamentals with automation, building regression models in Python to accelerate solar array design and standardizing workflows across multiple projects.

I also bring software engineering experience from Quill AI, where I developed user-facing modules in SvelteKit and improved the performance of back-end OpenAI-powered systems.

In addition, my experience at the Undergraduate Research Opportunities Program (UROP) at the MIT Device Realization Design Lab and the Tangible Media group, where I led complex ML projects, including 3D reconstruction using PyTorch and a retrieval-augmented generation-based Q&A platform, has refined my research, development, and deployment skills.

My leadership as President of the MIT Bitcoin Club demonstrates my project management skills and ability to drive large-scale project initiatives from concept to execution.

My technical toolkit includes Python, SQL, Java, TypeScript, PyTorch, TensorFlow, Docker, AWS, and modern web frameworks. I am comfortable learning new systems, working both independently and in agile teams, and communicating technical outcomes.