I design and ship custom AI systems that combine models, tools, data, feedback loops, and automation. My work spans agentic systems, synthetic data, local deployment, evaluator loops, and self-improving pipelines built for real-world use.
I build agentic AI systems that plan, act, and learn.
The main technical capabilities I use to design, build, and ship intelligent systems.
Design custom agents that plan, act, and adapt across tools and workflows.
Build systems that execute work through APIs, files, dashboards, CRMs, and internal tools.
Assemble the right context for the right task from memory, tools, docs, and state.
Generate, expand, and curate training, testing, and evaluation data.
Use models as evaluators and critics to score outputs and drive improvement.
Run models privately and efficiently on local, browser, or edge infrastructure.
Continuously test, fine-tune, and improve systems with data and feedback.
Turn AI systems into reliable, deployable, documented workflows.
Reusable AI system architecture patterns I can design and implement end-to-end.
Value Automates end-to-end business workflows with tools, approvals, and learning memory.
Value Scalable synthetic data generation for training, testing, and rapid domain coverage.
Value A continuous improvement loop that refines data and models using automated critique and scoring.
Value Local closed-loop experimentation for private, iterative AI research and system improvement.
Task-focused bots for support, research, operations, and specialist workflows.
Knowledge-aware copilots that help teams find, create, and act on information.
Agents that plan, execute, and adapt across systems.
Synthetic data and scenario generation pipelines.
Systems that evolve and maintain classes, attributes, and labels.
LLM / VLM evaluators that score, critique, and improve outputs.
Private local-first AI systems with strong control.
Fast browser inference using ONNX / WebAssembly.
Dashboards surfacing metrics, trends, and model behavior.
Automated dataset / model evaluation and regression tracking.
Understand goals and constraints.
Validate ideas fast.
Connect models, data, tools.
Test quality and safety.
Refine prompts and logic.
Runbooks and usage docs.
Enable your team.
Smooth handover and support.