Every engagement documented with actual numbers. Click any card to read the full case study.
Multi-stage NLP pipeline fine-tuned on 2.4 million clinical documents. Extracts structured data from unstructured notes at 10,000 documents per hour. Deployed on HIPAA-compliant Azure infrastructure.
Gradient boosting and neural network ensemble for transaction fraud detection. Sub-50 millisecond inference via FastAPI, handling 2 million daily transactions with a low false positive rate.
Two-tower deep learning recommendation system trained on 18 months of behavioral data. A/B tested against the existing rule-based system with significant uplift in click-through and add-to-cart conversion.
Combined satellite imagery, property listing computer vision, and structured market data into a unified valuation model. Live on a South Asian portal with over 400,000 monthly listings.
XGBoost-based early warning system that identifies at-risk students six weeks before dropout indicators appear. Integrated with the LMS via API for real-time instructor alerts.
LangGraph-based multi-agent system that sources, reads, and synthesizes investment research from over 200 sources. Produces structured analyst briefs on demand without a human in the loop.