> AI engineer. I build LLM-powered systems, retrieval pipelines, and agents that survive production. Currently turning research into 60fps reality.
Cross-provider platform measuring how brands appear across ChatGPT, Gemini, and Claude responses with automated prompt evaluation, entity normalization, and sentiment + authority scoring. Builds RAG-based recommendations to improve AI discoverability.
Automates procurement workflows by analyzing ERP data (Odoo/SAP-style), supplier history, invoices, and inventory signals. LLM agents handle vendor communication while ML models forecast demand and detect stock risks.
Deep learning platform for disease detection from medical imaging (X-ray, MRI, retina) using CNNs and Vision Transformers with explainability via Grad-CAM and confidence scoring for clinical trust.
Real-time urban mobility system using graph neural networks on GPS + IoT + traffic feeds to predict congestion, optimize routing, and simulate traffic signal improvements at city scale.
An AI observability and visibility analytics system that tracks how brands and entities appear across LLM-generated answers from ChatGPT, Gemini, and Claude. The system ingests web data (websites, reviews, directories, knowledge graphs), normalizes entities using NER + embeddings, and runs large-scale prompt evaluation pipelines across multiple LLM providers. It computes mention frequency, sentiment, authority scoring, and semantic positioning, then generates optimization recommendations using RAG-based reasoning.
New project? Research collab? Need an AI engineer who actually ships? Drop a coin in the slot.