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Hi, I'm David! 👋

I'm a business development operator focused on partnerships, revenue growth, and GTM systems. Since late 2025 I've been building agentic outbound GTM systems spanning account research, intent detection, personalization, and outreach. I've closed $220K+ in cumulative partnership revenue and grants, progressed from intern to Head of Business Development, and automated onboarding, reporting, and proposal workflows to increase team capacity and execution speed.


ExhibitsDeep Research · Market Intelligence · Ship Pipeline · Outbound


💼 Track record

💰 Head of Business Development · GFI Group · 2023 to 2025
Joined as an intern and was promoted to Head of BD within about two and a half years. Closed $220K+ in partnership revenue and grants with leading Layer-1 ecosystems, including Sui, NEAR, Polkadot, and Algorand, and built the function's internal tooling along the way: an Apps Script operations platform and an AI proposal workflow that cut proposal turnaround by roughly 70%.

🎤 President · RMIT FinTech Club · 2022 to 2023
Led the executive team and the club's flagship FinTech Blockchain Forum, which drew 350+ attendees and speakers from Binance, OKX, Solana, and Dragon Capital.

🏆 LotusHack 2026 · EdTech Track Runner-Up
Finished 7th overall out of 200+ teams, leading the front end and the presentation for a four-person team.


🧰 Open source

The set proves one thing: a GTM operator who also builds the AI systems that multiply the motion. Each repo is built for two readers at once, a human skim and an agent reading it cold. Every one ships an AGENTS.md and a machine-readable manifest, so you can point an agent at any repo and it will report what the project is, how it runs, and what it must not touch.

Repo What it proves
industry-pulse A watchlist-driven intelligence pipeline: crawl LinkedIn, X, RSS, and email, classify in parallel, write one neutral signals brief. Runnable from a clean clone, with a smoke test and CI.
research-engine A from-scratch research engine that contests its own findings: a refuse-capable verifier and a per-source trust log, reproducible over open sources.
gtm-engineering-playbook A twelve-chapter field manual for AI-assisted go-to-market, from operating principles to the agent architecture that runs them.
company-research-pipeline A repeatable company-research method for Claude Code: seven cited, confidence-tagged dossiers per company, with adversarial verification.

Elsewhere: Full CV · davidnguyen.io · LinkedIn · thangnguyen.workspace@gmail.com

Pinned Loading

  1. industry-pulse industry-pulse Public

    Watchlist-driven intelligence pipeline crawling LinkedIn, X, RSS, and email into one neutral signals brief.

    Python 4

  2. gtm-engineering-playbook gtm-engineering-playbook Public

    A twelve-chapter field manual for AI-assisted go-to-market engineering.

    1

  3. research-engine research-engine Public

    Reproducible research engine that contests its own findings and logs every source choice.

    1

  4. company-research-pipeline company-research-pipeline Public

    Repeatable company-research pipeline for Claude Code: seven cited, confidence-tagged dossiers per company.

    1 1