Services

Engineering support for teams that want useful outcomes, not vague innovation theater.

I work across AI, product engineering, and infrastructure to help ideas move from rough concept to dependable system.

AI and ML service

AI & ML

Applied intelligence

Custom ML systems, retrieval pipelines, agent workflows, experimentation, and productization for teams that need AI to be useful in practice.

  • RAG, search, chunking, and evaluation pipelines
  • LLM-assisted workflows and agentic automation
  • NLP, computer vision, recommendation, and experimentation support
Web and app development service

Product engineering

Web and application delivery

Modern interfaces, backend services, integrations, and deployment-ready product work with an emphasis on fast iteration and clean UX.

  • Responsive web apps and internal tools
  • API design, backend services, and third-party integrations
  • Polish, performance, and product-facing reliability work
Data and infrastructure service

Infrastructure

Data and platform foundations

The systems underneath the product: storage, ETL, cloud deployment, CI/CD, observability, and automation.

  • ETL and data transformation workflows
  • Containerized deployments and cloud environment setup
  • Monitoring, automation, and operational hardening

Working style

How engagements usually run

Discovery

Align on goals, technical risks, constraints, and the fastest useful milestone.

Execution

Build working software quickly with enough structure that it does not collapse under the next iteration.

Stabilization

Strengthen testing, deployment, observability, and the handoff path for the team.