Full-Stack AI/ML Engineer
Story-driven builder focused on production AI, backend clarity, and systems that hold up over time.
I build like a storyteller: I start with the human problem, follow the constraints, and ship the simplest system that reliably moves the outcome.
Over time my mindset shifted from “build something impressive” to “build something that survives reality”:
- Reduce complexity before adding intelligence
- Prefer repeatable workflows over clever one-offs
- Make failures visible, debugging easy, and iteration cheap
- Optimize for trust: reliability, evaluation, and observability
Clarity beats cleverness. Systems beat hacks.
AI systems
- Retrieval-Augmented Generation (RAG) architectures
- Document processing pipelines (parsing, chunking, validation, confidence)
- LLM reliability (evaluation, regression tests, safety guardrails)
- Agentic workflows when they reduce time-to-outcome (not for novelty)
Full-stack engineering
- Backend-first architecture and API design
- Async workflows and orchestration
- Cloud-native deployment and monitoring
- Automation systems with measurable ROI
- A system you can understand in one diagram
- A pipeline you can trust in production
- A release that can be repeated without heroics
- Metrics that reflect business reality, not vanity
If you’re building document-heavy AI, production RAG, or automation systems, I’m always open to conversations that are honest and practical.