Equity Research · AI Systems
I'm Mike Huynh. I spent my time on the research side of the desk: building DCF models, reading filings, and defending calls to an investment committee. So I know firsthand where the work gets tedious and where it quietly goes wrong. That's what I build for now, with one rule I never bend: every number is computed in code, never guessed.
01 · Selected Work
A deployed full-stack risk analyzer that computes VaR, Sharpe, beta, and sector look-through, with an AI analyst and PDF or image import.
Five specialized AI agents that produce Wall-Street-grade equity research pitches.
Scheduled agent that turns a brokerage export into a Gamma deck, with its own visual QA loop.
Rules-driven net-worth dashboard that ingests statements, screenshots, and exports.
A macOS menu-bar app that rewrites any selected text into an optimized prompt from a global hotkey, learning from what you accept.
02 · Skills
Phased multi-agent pipelines with deterministic hand-offs and validation gates.
DCF & comps modeling and SEC/XBRL filing analysis, by company type.
GICS look-through exposure, risk scoring, benchmarking, and attribution.
Market & filing data sources wired with caching and rate-limit budgeting.
Analysis into scheduled Gamma decks, with screenshot-based visual QA.
Next.js / React dashboards with Framer Motion and Recharts.
03 · About
A UC Riverside finance grad who started on the research side of the desk and now builds the AI that runs the analysis. The short version is below; the full résumé, role by role, lives on the about page.
Experience
Education
B.S. Business Administration, Finance
GPA 3.74 · Dean's List · Chancellor's List
Certifications