Incoming Summer 2026

Leading Cursor @ Cornell, building a campus builder community

• Designing challenging software engineering tasks across open-source Python, Go, Rust, and TypeScript codebases to evaluate AI coding performance.

• Building reference implementations and robust fail-to-pass/pass-to-pass test suites to measure correctness, edge-case handling, and regression safety.

• Creating Docker-based, reproducible validation scripts with clean dependency setup and deterministic test execution for reliable, auditable results.

• Created the Hyperbolic AI Cloud VS Code extension in TypeScript to manage GPU instances; deploy Huggingface models via vLLM with gated auth, custom tokenizers and tensor parallelism; launch Jupyter kernels; and manage S3 buckets.

• Developed a TypeScript tRPC endpoint with PostgreSQL, and Amazon Web Services EC2, RDS, and VPC to compute supplier earnings and refunds, reducing billing reconciliation time by 70%.

• Built Hyperbolic CLI using Go, Redis, and Firebase with automated browser-based authentication to allow developers to manage compute resources from their terminal.

• Engineered a sub 100ms latency speech to speech AI Agent backed by a RAG knowledge base; deployed serverful Dockerized Python backend and communicated with frontend via Starlette websocket API.

• Led development of Hyperbolic AgentKit, a Python LangChain AI Agent framework for remote GPU compute orchestration; adopted by 100+ developers.

• Engineered a Python web scraper using BeautifulSoup, Pandas, and NumPy to extract and preprocess 150,000+ agricultural blog posts into a RAG pipeline, enabling sentiment analysis and predictive modeling.

• Deployed LangChain Azure Search with vector embeddings and cosine similarity, implementing natural language processing and prompt engineering on a database with custom JSON chunking to improve RAG accuracy by 400%.

• Boosted marketing campaign reach by 14% and reduced manual social media management time by 90% through an interactive dashboard while ensuring compliance with data policies.