• Built an LLM-enabled document analysis pipeline with Langchain, allowing both software and hardware architects to query and compare versions of various hardware specifications via chatbot interface.

• Enhanced data transfer and communication between frontend and backend data model, improving performance by around 60%.

• Overhauled developer flow to enable concise and quick development of new data model classes. Consequently enabled dynamic code generation of around 70% of the backend data model during compilation.

• Designed the architecture for a sandbox-style GUI that interacts with and simulates hardware designs.

• Developed API to import and export between design and script files.

• Acted as Scrum Master to facilitate communication with the client.

• Presented to a panel at a microarchitecture conference.

Because of this work I was scouted by my current job!

• Developed and deployed a recommendation engine that assisted developers in looking for teammates based on skillset and personality type given by each user profile.

• Scraped 10k Linkedin profiles to create training dataset; this improved match recommendation by around 40%.

• Deployed to production, hosted on AWS lambda instance

• Developed and benchmarked microservices for payments API.

• Built and deployed automated regression pipeline, which increased developer productivity and coverage from 30% to 80%