Path to Impact

Architecting enterprise GenAI solutions and LLM systems serving 15K+ internal users. Built Python document parsers processing 50K+ pages/month at 97.2% accuracy. Deployed RAG pipelines via FastAPI + Azure AI Search with p95 latency of 2.4s.

Led a team of 8 ML engineers. Delivered 12+ production data pipelines, reducing model training time by 65% through PySpark optimization. Increased model deployment frequency from quarterly to weekly. Achieved 94% accuracy in customer churn prediction, saving $2.3M in retention costs.

Engineered scalable PySpark pipelines processing 10M+ records/day. Improved ETL performance by 78% and reduced job failures by 92%. Built real-time dashboards serving 500+ concurrent users with sub-second query response.

Led cloud data migration for 6TB of enterprise data across 3 AWS regions (completed 3 months ahead of schedule with 99.8% integrity). Implemented predictive analytics models that increased sales forecasting accuracy by 43% and reduced inventory costs by $1.1M annually.