Hi, I’m the CEO and Founder of Cowork AI. My current focus is building Agentic AI and LLM-driven trading systems for US equities and cryptocurrencies.

Previously, I was an Entrepreneur in Residence at Hashed, where I explored and developed web3 projects. Prior to my startup journey, I spent five years as a Software Engineer at Waymo (formerly the Google Self-Driving Car Project), deploying vision-based machine learning systems directly to the autonomous fleet.

💼 Experience #

Cowork AI, Inc. #

CEO & Founder (Nov 2022 – Present) I founded Cowork AI to bridge the gap between foundation models and live financial markets.

• Project Hayes: Deployed an autonomous Agentic Trading system actively powering Cowork AI’s proprietary trading. It monetizes 2nd and 3rd-order market effects using Knowledge Graphs, RAG, and Chain-of-Thought reasoning.
• Fred MCP Server: Launched an integration layer that seamlessly connects foundation models to real-time financial feeds, technical indicators, and alternative data sources (e.g., Reddit, Truth Social).
  • Partnership: Supplied the Fred MCP Server to Kakaopay Securities, powering Korea’s first AI mobile trading feature that autonomously researches and explains the causes behind sudden stock price movements.
• Fred RAG Agent: Released an enterprise-grade, on-premise Agentic RAG solution tailored for financial and accounting firms.

Hashed #

Entrepreneur in Residence (Oct 2021 – Mar 2022)

• Pass the Baton: Launched an ERC-721 NFT art project on Ethereum designed as a sustainable platform for charitable giving (baton.art).
• Operated as a two-person development team, personally architecting and writing half of the production Solidity smart contracts.

Waymo LLC #

Software Engineer (May 2016 – Jun 2021)

• Deployed vision-based detection systems to the self-driving fleet, unblocking new driving areas by classifying unique, dynamic traffic signals.
• Patented Technology: Co-invented a machine learning system for autonomous vehicles to detect, classify, and respond to unfamiliar traffic signs in real-time (US Patent 10,928,828) (Archive).

Nexon Corp. #

Software Engineer (Sep 2006 – Apr 2009)

• Full-stack developer for MapleStory, a blockbuster 2D side-scrolling MMORPG. Developed a C++/DirectX 3D game client and an IOCP-based highly-concurrent game server.

🛠️ Technical Skills #

• Agentic AI & Protocols: Multi-Agent Systems (MAS), MCP, A2A, Google ADK, Gemini CLI, RAG, Knowledge Graphs.
• ML & Infrastructure: vLLM, llama.cpp, PyTorch, TensorFlow, Vertex AI, Vector Databases (pgvector, SQLite-vector).
• Software & Cloud: Go, Python, C++, Solidity, gRPC, ConnectRPC, Docker, Nix, PostgreSQL, SQLite, Alpaca API, GCP (Cloud Run, GCE), HTMX, Alpine.js.

🎓 Education #

• University of California, Berkeley
  • Ph.D. Candidate (On Leave) in Computer Science (Aug 2012 – May 2016)
  • M.S. in Computer Science (May 2016) | Thesis: View-Dependent Adaptive Cloth Simulation (Archive)
• Seoul National University
  • B.S. in Computer Science and Engineering (Feb 2012) | Graduated summa cum laude

📄 Selected Publications #

• View-Dependent Adaptive Cloth Simulation (Archive)
  Woojong Koh. Master’s Thesis, EECS Department, University of California, Berkeley, Technical Report No. UCB/EECS-2016-5, January 2016.
• View-Dependent Adaptive Cloth Simulation with Buckling Compensation
  Woojong Koh, Rahul Narain, and James F. O’Brien. IEEE Transactions on Visualization and Computer Graphics (TVCG), October 2015.
• View-Dependent Adaptive Cloth Simulation
  Woojong Koh, Rahul Narain, and James F. O’Brien. ACM SIGGRAPH/Eurographics Symposium on Computer Animation (SCA), July 2014.
• Near-exhaustive Precomputation of Secondary Cloth Effects
  Doyub Kim, Woojong Koh, Rahul Narain, Kayvon Fatahalian, Adrien Treuille, and James F. O’Brien. ACM SIGGRAPH 2013, July 2013.