AI Systems Engineer · Full-Stack Builder

SHIZHI GU

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I build AI products with teeth: agent systems that touch real data, survive messy inputs, and return outputs you can actually trust. Less demo magic, more architecture, evidence, and systems that hold up under load.

Selected projects — 2024–2026

AI AGENTS01

SIGNAL SCOUT

Most AI analytics tools stop at dashboards. Signal Scout spins up a swarm of database-connected investigators that find ICP patterns, test them statistically, and return conclusions with evidence instead of vibes.

Claude SDKFastAPIModalDuckDBMCP
CREATIVE AI02

FILM-CLI

Single AI video clips are easy. Coherent films are hard. film-cli gives agents a quality-gated production loop for multi-shot storytelling, continuity control, and shot-by-shot iteration.

Bun/TSKlingGemini ProRemotion
iOS03

GLANCEQUOTE

A market data app built for glancing, not tapping. Live crypto, stocks, and futures stream straight to the Dynamic Island so you can check price action without opening a brokerage app.

SwiftSwiftUIActivityKitWebSocket
AI AGENTS04

MARKETA-PRO

An AI content team for brands that can't afford one: trend research, audience strategy, creative direction, and marketplace-ready copy generated through orchestrated specialist agents.

Google ADKLiteLLMFastAPI
FULL-STACK05

VENUE-OPS-AI

Walkie-talkies are terrible software. venue-ops-ai turns messy venue operations into a conversational command layer that triages issues, dispatches work, and keeps a live audit trail.

Next.jsLangGraphDeepgramClaude
AI PRODUCT06

TOKFORM

Surveys are rigid and shallow. TokForm makes research feel like a feed: adaptive AI interviews, swipe-native UX, and responses that go materially deeper than static forms.

Next.jsAgnoFastAPIRedis
AI AGENTS07

QUOTIENTAI

A negotiation copilot for creators who are tired of getting outpriced. Multi-agent workflows research brands, benchmark deal value, find contacts, and generate smarter counteroffers.

Google ADKPineconePerplexity
DEVTOOLS08

SKILLS-CHAT

Generic chatbots are boring. skills-chat turns personas, tools, and reusable skills into a modular AI workspace where the assistant can actually do domain-specific work.

React RouterClaude SDKBunMCP
FINTECH09

FUNDLEY-APP

Ask a financial question in plain English, get back a reusable analysis artifact. Fundley combines verified data, sandboxed code execution, and agent orchestration in one research workspace.

Next.jsAI SDKE2BDrizzle
FULL-STACK10

DEDUCTIONTRACKER

A calmer take on expense tracking for freelancers: capture receipts, classify deductions, and manage tax-season chaos across web and mobile from one shared system.

Next.jsReactDrizzleNeon

About

10+

Products / prototypes shipped

7

Agent-driven systems built

500+

Equities screened in finance workflows

5

Schema-aware data connectors

Shizhi Gu

I build AI systems for domains where bluffing gets expensive: investment research, analytics, operations, and developer workflows. My background is a mix of quantitative finance, backend engineering, and product-minded shipping.

The common thread across these projects is simple: make the model earn its keep. That means structured outputs, sandboxed execution, reproducible pipelines, and interfaces that feel sharp enough to ship — not just cool enough to demo.

Claude Agent SDKStructured OutputsLangGraphMCPFastAPINext.jsSwiftUIDuckDBPostgreSQLTypeScriptPythonModalReact

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