Software Engineer · AI Builder
I build AI-native products and agentic systems.
Computer science, math, and statistics at Columbia, with published work in multi-agent AI and financial language-model evaluation.
Projects
An end-to-end pipeline for generating AI video from scratch.
An AI-native second brain that turns content into searchable knowledge.
A generative pipeline for synthetic robotics training data.
Experience
Mar 2026 — Apr 2026
Software Engineer Intern
Fuse Health · Remote
Re-architected a 728-line Express monolith into 5 portal-scoped BFF modules, cutting API response times by 50–70% and hitting a 5.5x speedup on cached reads.
Jun 2025 — Aug 2025
Software Engineer Intern
Capital One · McLean, VA
Built a Python AWS Lambda pipeline that translates and deploys network policies across 1,300+ devices, auto-synced via a GitHub webhook.
Feb 2025 — May 2025
Machine Learning Engineer Intern
Anytime AI · Remote
Integrated RAG pipelines for legal document search across 100+ page filings, improving retrieval accuracy by 25%.
Publications
2025
Knowledge tagging with large language model based multi-agent system
Proceedings of the AAAI Conference on Artificial Intelligence 39 (28)
A multi-agent LLM system for tagging educational content with fine-grained knowledge points.
2024
High-Quality Financial Benchmark (QFinBen): Can LLMs Earn Degrees and Certificates
International Workshop on Multimodal Financial Foundation Models (MFFMs)
A benchmark evaluating whether LLMs can pass real CFA, CPA, and MBA-level financial exam questions.
About
I studied computer science, math, and statistics at Columbia, and I spend most of my time building things and following ideas further than I probably need to.
Outside of work, I'm into restaurants, electronic music, philosophy, poker, tennis, snowboarding, and traveling.