I am an AI Engineer with over four years of software engineering experience building LLM applications, agentic systems, RAG solutions, and backend APIs. I specialize in translating business requirements and customer pain points into reliable production systems.
I work primarily with Python, FastAPI, PostgreSQL, pgvector, LangGraph, and Docker. My experience includes designing agent workflows with tool calling, prompt engineering, structured outputs, persistent state, and human-in-the-loop approvals.
I have built evaluation and observability practices for AI systems, covering accuracy, reliability, latency, cost, explainability, logging, tracing, guardrails, and regression testing. I focus on resilient workflows through retries, fallbacks, output verification, and escalation paths.
I also have full-stack and automation experience using React, Next.js, Supabase, REST APIs, webhooks, n8n, Zapier, and the OpenAI API. I have delivered lead-capture and lead-automation workflows that connect frontend applications, backend services, databases, and notifications.
Previously, I developed scalable backend services and distributed integrations in enterprise software environments. I collaborate effectively with QA, product, and infrastructure teams and take ownership from design and implementation through testing, CI/CD deployment, and production support.
