AI that ships — not slideware.
Most "AI solutions" are a thin wrapper around someone else's API and a demo that falls apart in production. I build the other kind: models trained on your data, running where you need them, doing work you can measure.
I've built and trained models from scratch — computer vision (YOLOv8, CUDA), fine-tuning with LoRA and DPO, local inference on Qwen and LM Studio, and agentic systems on Anthropic and OpenAI wired together with MCP. Proof-of-concept to a production system your team can actually run.
What I build
- Custom models, trained from scratch — vision, classification, prediction, and recommendation on your own data, not a generic endpoint.
- LLM applications & agents — retrieval, tool use, and multi-step agents connected to your real systems.
- Local & private inference — models that run on your hardware or in your VPC when the data can't leave the building.
- Intelligent automation — pipelines that read unstructured data, make a decision, and take action.
Why me
I don't hand off to a junior team. Concept, data, training, deployment, and the operator UI — one person accountable end to end. I've done it for a fielded RF-detection defense system and for fintech platforms running live market analysis.
If it can be built, I want to build it — end to end, one person accountable.
Common questions
Do you build custom AI models or just use APIs?
Both, depending on what the job needs — but I regularly build and train models from scratch, including computer-vision models with YOLOv8 and CUDA and fine-tuning with LoRA and DPO, on your own data.
Can AI run privately on our own hardware?
Yes. I build local and private inference so models run on your hardware or inside your VPC when the data can't leave the building.
Can you add AI to our existing software?
Yes. Most AI capabilities integrate alongside what you already have — as services, data connectors, and agents wired into your systems — without a full rebuild.
What AI projects have you shipped?
A fielded RF-detection defense system, LLM-driven market analysis for fintech, and AI-powered finance tooling, from proof of concept to production systems teams can run.