Medical Record Summarization AI
An AI system that processes and summarizes extensive patient medical histories — up to 10,000+ pages of PDF documents. The system extracts visit details, physician notes, chronological timelines, and identifies life-changing health incidents, enabling legal and medical teams to work with complex records in minutes instead of weeks.
- Summarized 10k+ page medical histories in minutes
- Extracted chronological timelines with 95%+ accuracy
- Identified pre/post-incident health changes automatically
Financial Analyst Chatbot
A conversational AI assistant built for investment bankers and financial analysts. The chatbot answers questions about general stock market trends and provides deep analysis of specific companies based on their earnings statements and SEC filings — powered by a RAG pipeline with real-time data integration.
- Instant answers from earnings statements & market data
- Deployed for daily use by investment banking team
- Reduced research time by over 60%
Custom GenAI Platform Development
End-to-end advisory and development for a custom Generative AI platform with highly specialized requirements. Involved architecture design, model selection, fine-tuning strategy, and deployment — delivering a production system tailored to unique domain-specific needs that off-the-shelf solutions couldn't address.
- Production-ready GenAI platform in 8 weeks
- Custom model optimization for domain tasks
- 5-star client review: "clearly knows his stuff"
LLM Optimization & GenAI Engineering
Collaborated as part of an enterprise team to optimize LLM inference performance, reduce hallucinations, and improve response quality for a large-scale AI application. Work included prompt engineering, RAG improvements, evaluation framework design, and latency reduction through model quantization and caching strategies.
- 40% reduction in inference latency
- Significantly improved response quality & accuracy
- Comprehensive evaluation framework established
Computer Vision Object Detection System
Custom computer vision pipeline for real-time object detection and tracking in industrial environments. The system uses YOLOv8 for high-speed detection with a custom-trained model on proprietary data, integrated with an alerting system and dashboard for live monitoring of detected events.
- 30 FPS real-time detection on edge hardware
- 98.2% precision on custom object classes
- Live dashboard with instant alert notifications
Multi-Agent Document Processing System
A LangGraph-powered multi-agent system designed to process, classify, and extract structured information from thousands of documents per day. The system uses specialized sub-agents for different document types, with a supervisor agent coordinating the workflow and ensuring data quality at each step.
- Processes 5,000+ documents per day automatically
- 99%+ classification accuracy across 15 document types
- Eliminated 40 hours/week of manual processing
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