James H. | Remote (US) | U.S. Citizen, open to relocate SF/NYC | Full-Time
Founding CTO at an AI startup — built the whole thing from scratch. 170k+ users, 13 microservices, shipped across web, iOS, Android, and desktop. I write code every day and own systems end-to-end from scoping through production.
Day-to-day: Python (FastAPI, Django), TypeScript (React, Next.js, Node), PostgreSQL, Redis, Docker, AWS. Built multi-agent pipelines with LangGraph, agentic RAG, structured outputs, production LLM observability. Thousands of agent calls running daily. Also built real-time voice features (STT/TTS streaming) and quantitative ML systems — XGBoost classifiers on 232k bars across 53 assets for volatility regime detection.
Previously co-founded and shipped two other products (event ticketing platform, DeFi protocol). Comfortable with ambiguity, fast iteration, and working directly with customers. I use AI tools heavily to ship (Claude Code, Cursor) but understand what's happening under the hood.
Looking for: Forward-Deployed Engineer, AI/Full-Stack Engineer, Staff/Principal Engineer roles at companies that ship fast and give real ownership. Strong preference for remote. Open to onsite in SF or NYC for the right opportunity.
I am Parag,from Mumbai. Building Spotlytt (www.spotlytt.com) a skill discovery platform for professionals to showcase their skills through videos and audios.
Saw your profile, I am looking for someone who can take ownership. if you are interested in the idea and are open to discussion let's connect.
Founding CTO at an AI startup — built the whole thing from scratch. 170k+ users, 13 microservices, shipped across web, iOS, Android, and desktop. I write code every day and own systems end-to-end from scoping through production.
Day-to-day: Python (FastAPI, Django), TypeScript (React, Next.js, Node), PostgreSQL, Redis, Docker, AWS. Built multi-agent pipelines with LangGraph, agentic RAG, structured outputs, production LLM observability. Thousands of agent calls running daily. Also built real-time voice features (STT/TTS streaming) and quantitative ML systems — XGBoost classifiers on 232k bars across 53 assets for volatility regime detection.
Previously co-founded and shipped two other products (event ticketing platform, DeFi protocol). Comfortable with ambiguity, fast iteration, and working directly with customers. I use AI tools heavily to ship (Claude Code, Cursor) but understand what's happening under the hood.
Looking for: Forward-Deployed Engineer, AI/Full-Stack Engineer, Staff/Principal Engineer roles at companies that ship fast and give real ownership. Strong preference for remote. Open to onsite in SF or NYC for the right opportunity.
talents.numbers5z@icloud.com
https://linkedin.com/in/jameslhebert
https://github.com/dlhugly