Background

I grew up in the Bay Area, studied finance with a concentration in machine learning at Colorado State University, and spent every free hour obsessing over the companies reshaping the world.

Between COVID and graduation, I lived through every cycle the market had to offer — the 2020 liquidity boom, the 2022 correction, and the AI breakout that followed. I traded through all of it, building theses on tech companies and putting real money behind them. I didn't know venture capital existed yet. I just knew I loved the deep dive.

That research instinct led me to build things. I co-founded Invesst.ai to automate financial analysis with ML models — building Python data pipelines, managing the product roadmap, and learning what it actually takes to ship.

Venture capital is the natural extension of everything I've been doing. It's deeper research, higher stakes, and more cutting-edge technology. Instead of reading 10-Ks, I sit across from the founders building the thing. I didn't grow up around this world — I found it by following my curiosity from a Robinhood account to a cap table. I haven't looked back.

Work

01
GoAhead.VC

Venture Scout — Sep 2024 to present. Source pre-seed through Series A deals across AI infrastructure and defense tech. End-to-end diligence on 20+ startups. Deep tech research and market mapping in frontier AI, autonomous systems, and fintech.

02
Invesst.ai

Co-Founder — Oct 2023 to Mar 2025. AI-powered investment research platform automating DCF and merger analysis. Built Python data pipelines for financial data extraction and modeling. Managed product from concept through working prototype.

03
App Studio

Founder — 2025 to present. Independent iOS studio shipping consumer apps. Multiple products live on the App Store. Not public about them yet.

Value Add

Deal Sourcing

Systematic outbound process combining thesis development, market mapping, and warm introductions. 20+ startups diligenced across AI infrastructure and defense tech at GoAhead.VC.

Builder Background

I've shipped real products — co-founded an AI-powered fintech startup and built it from concept through working prototype. I evaluate founders differently because I've been in their shoes.

AI / ML Fluency

Finance degree with a machine learning concentration. Hands-on experience building with LLMs, vision APIs, and data pipelines — not just evaluating them from a slide deck.

Bay Area Native

Grew up in the SF Bay Area surrounded by the tech ecosystem. Deep network across university ecosystems, founder communities, and the broader Silicon Valley landscape.

Research Depth

Conviction built through primary research: founder calls, customer interviews, and market sizing before bringing an opportunity forward. No lazy pattern matching.

Skin in the Game

I've been putting my own money behind tech convictions since college — public market bets driven by the same thesis-first research process I bring to private deals.

Tech Stack

Languages
Python JavaScript TypeScript SQL
Frameworks
React Native Node.js
AI / ML
ML Pipelines Gemini API LLMs NLP
Data
Supabase Financial Data DCF Modeling
Infrastructure
Vercel Git CI/CD
Tools
VS Code Claude Code Cursor