I'm a Data Science student (currently a freshman at UC Davis) who likes building things that actually have real-world applications and work outside of demos. I've been coding since 2020, mostly because I enjoy understanding how systems behave under real constraints (eg. latency, bandwidth, scale, etc.).
Currently looking for an internship for summer 2026, working on systems for genetic intelligence, LLMs, and machine learning.
Love volleyball (on my college's Division 1 team), play the piano, and spend my free time building things I think are cool.
Palantir Technologies
Nov 2025 – Present • Remote
Project RISHI @ UC Davis
Sep 2025 – Present • Davis, CA
Amazon
June 2025 – August 2025 • Remote
STEMplicity
Jun 2023 – May 2025 • San Francisco, CA
FastAPI, Python, PostgreSQL, Docker, Whisper
Built a multimodal reasoning pipeline for event reconstruction from text, image, video, and audio inputs. Developed an agentic memory pipeline that tracks user context and adapts next-day lessons based on learning history.
Python, Next.js, Hugging Face STT, LLMs, MongoDB
Developed a multilingual emergency response agent converting unstructured speech into structured MCP dispatch actions. Integrated DeepL translation, Perplexity classification, and Apify retrieval for location-aware autonomous routing.
Next.js, Flask, Neo4j, Pinecone, Hugging Face
Developed a graph-based RAG system linking 1,000+ drugs with embeddings in Pinecone for generics and interaction queries. Integrated Neo4j graph traversal with Hugging Face rerankers to improve retrieval precision and clinical interpretability.
JavaScript, Node.js, TypeScript, Docker, Postgres, Shell scripting
Built Wizard, a CLI debugging tool with sandboxed error reproduction, syscall tracing, and structured root-cause analysis. Added automated fix workflows using semantic error classification, environment diffing, and safe command execution.