What I Do
From AI demos to systems people can trust
I help teams turn vague AI ideas into reliable and secure, production-ready systems. Most projects fail after the demo because nobody designs for failure modes, data quality, or long-term maintainability. I focus on the things that actually ship: clear problem framing, robust retrieval, evaluation, and guardrails.
My background spans generative AI, NLP, and automation. I build with modern stacks, but I sell outcomes: faster decisions, fewer manual steps, and AI systems that do not collapse under real users and real data. For full technical detail, see my Resume.
What clients hire me for
- AI idea audits that expose hidden risks and costs
- RAG systems that stay accurate after week one
- Agent workflows that are measurable and safe
- Automation that removes real bottlenecks
How I work
- Start with the business problem, not the model
- Design for failure modes and edge cases early
- Ship in tight iterations with visible metrics
- Document decisions so systems can scale
Toolbox (Secondary to Outcomes)
Python
LangChain
LlamaIndex
LangGraph
Hugging Face
CrewAI
MCPs
Computer Vision
NLP
PyTorch
TensorFlow
Claude Code