Building AI Systems That Ship

Leading technology strategy and delivery for Fortune 100 enterprises - from automating manual workflows to fundamentally re-imagining business processes with AI. Working directly with CxOs to identify high-impact opportunities and deliver custom-built AI solutions faster than any competitor in market.

Trained the AI ASK SQL model and built an agentic in-database workflow engine, enabling natural language interaction with Teradata. Benchmarked VectorStore performance, generated in-database ONNX embeddings, and shipped intent classification and multi-entity tagging pipelines - bringing NLP capabilities natively into the Teradata ecosystem.

Architected TDNN, an in-database deep learning inference library modeled on PyTorch nn, allowing enterprise customers to run predictions at scale without data movement. Built a production RAG pipeline for LLM-powered question answering within Teradata and achieved state-of-the-art accuracy on wafer defect detection, outperforming existing DL/ML baselines.

Earned Spot Award for A Grade in the LEAP program and recognized as Salutatorian. Designed and implemented a full data warehouse pipeline, demonstrating production-readiness from day one.