AI solution architect with 6 years at a Fortune 500 energy company. I build LLM systems on top of large, messy enterprise data. Some highlights:
- Built a multi-RAG system that identified $0.8M margin leakage.
- Built a knowledge graph from 183 production SQL queries to ground an analytics assistant over an 1000+ table lakehouse. Worked with Databricks on scaling Genie across ~2000 tables.
- Designed an internal AI platform with sourcing and finance workbenches.
- Ran GenAI training for 500+ employees, including executive sessions.
Looking for roles in applied AI or AI enablement. Finishing an MS in CS (Artificial Intelligence) at Georgia Tech, December 2026.
Remote: Yes. Full-time, part-time or contract.
Willing to relocate: Maybe
Technologies: RAG and multi-agent systems, LLM evaluation and tracing, FastAPI, Streamlit, QLoRA, Python, SQL, Databricks, Knowledge graphs and GraphRAG
Résumé/CV: https://docs.google.com/document/d/1I7c6Qyo94FkJivs5w0gpp9Fv...
Email: [email protected]
AI solution architect with 6 years at a Fortune 500 energy company. I build LLM systems on top of large, messy enterprise data. Some highlights:
- Built a multi-RAG system that identified $0.8M margin leakage.
- Built a knowledge graph from 183 production SQL queries to ground an analytics assistant over an 1000+ table lakehouse. Worked with Databricks on scaling Genie across ~2000 tables.
- Designed an internal AI platform with sourcing and finance workbenches.
- Ran GenAI training for 500+ employees, including executive sessions.
Looking for roles in applied AI or AI enablement. Finishing an MS in CS (Artificial Intelligence) at Georgia Tech, December 2026.