Professional Overview
AI engineer with a strong Python backend foundation, specializing in production LLM systems — RAG pipelines, LLM orchestration and multi-agent architectures — and the scalable APIs and services around them. Takes AI features from prototype to production: designing architecture, integrating models (OpenAI, Anthropic, Gemini), and shipping reliable, observable services. Comfortable across FastAPI, async processing, SQL and vector stores, and cloud deployment, and uses AI coding tools daily with the judgment to review and validate what they produce.
Areas of Expertise
NLP & Prompt Engineering
Build natural language processing systems, fine-tune large language models, and craft reliable production prompts for AI-powered products.
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.
