Engineered an on-premise Retrieval-Augmented Generation (RAG) system handling millions of structured compliance records with sub-second retrieval latency.
Deployed predictive machine learning forecasting nodes across multi-channel retail storefronts to automate pricing shifts and prevent stock depletion.
Created custom fine-tuned open-source language models to parse complex medical transcripts securely within isolated hospital infrastructure.
Implemented automated edge-computing visual inspection nodes on conveyor belts to identify packaging flaws and transit risks instantly.
Built hierarchical multi-agent LLM teams capable of troubleshooting API errors, interacting with Jira, and auto-resolving customer inquiries.
Engineered time-series telemetry forecasting models to predict industrial machinery hardware failures weeks before occurrence.