Professional Overview
AI and Agentic Systems Engineer with 7+ years of experience designing, building, and deploying production-grade AI, LLM, and cloud-native systems. Takes agent-based and LLM-powered systems past the demo stage into production, with evals and observability, offline suites gating CI, online judges scoring sampled production traffic, and full pipeline.
Experience
AI Expertise
Skills
Employment Type
Description of Responsibilities
- Built a multi-step maintenance-triage agent (LangGraph, FastAPI, Postgres, MCP).
- Designed the agent's evaluation harness
- Built 14 graders (11 deterministic, 3 LLM-as-judge)
- Raised retrieval quality of a RAG pipeline from MRR@5 0.31 to 0.73
- Eval suite behind a CI gate that blocks merges on a grader pass-rate regression
Education
Field of Study: Computer Science
Field of Study: Computer Science
Field of Study: Machine Learning, Artificial Intelligence, Software Engineering
Areas of Expertise
Automation & AI Workflows
Build intelligent automation pipelines, integrate AI APIs into existing tools, and replace manual workflows with agentic AI systems.
AI Product & Strategy
Translate AI capabilities into product roadmaps, define success metrics, and drive adoption across engineering and business teams.
