Work & Research
My career sits at the intersection of AI/ML and quantitative finance. From founding an autonomous investment-agent startup to publishing security research, each role has deepened my conviction that rigorous engineering can solve real problems at scale.
Resume (PDF)June 2025 – Present
AI and ML Intern
Keyfactor
Advancing machine learning for public-key infrastructure and certificate lifecycle management.
- Achieved state-of-the-art accuracy predicting X.509 certificate risk using custom ML models trained on large-scale telemetry data
- Co-authored research manuscript submitted to IEEE S&P 2026 on certificate risk prediction
- Built secure agentic systems and MCP servers to extend PKI product capabilities with AI-driven automation
December 2025 – Present
AI Engineer
Stealth Startup
- Trained multi-modal AI models from scratch
- Deployed production model under strict compute and memory constraints
January 2025 – Present
AI Researcher
SEE Lab, Dartmouth
Research under Professor SouYoung Jin on multimodal models for human-aligned video understanding.
- Training multimodal models to align machine video understanding with human perception and judgment
- Preparing manuscript targeting NeurIPS Q2 2026 submission
November 2024 – Present
Founder
Brama AI
Building AI-powered investment tools to democratize financial research.
- Designed and built a team of autonomous buy-side AI agents (Portfolio Manager, Fundamentals Analyst, and Risk Manager) that collaborate to construct equity portfolios
- Architected RAG pipeline with MongoDB vector search for real-time ingestion of SEC filings and market data
- Deployed full-stack React application on AWS with CI/CD
June 2024 – August 2024
Quant Research / AI Intern
Trivariate Research
Built data infrastructure for quantitative and fundamental equity research.
- Built a fully-automated Python data pipeline for quant and fundamental research workflows
- Processed and cleaned large financial datasets to support systematic investment strategies