Projects
Production-grade AI systems, multi-agent pipelines, RAG architectures, and ML projects.
Agentic AI system that autonomously parses complex simulation logs, identifies anomalies, and summarizes key performance metrics using CrewAI and LangChain.
Reduced manual review time by 75%
Multi-agent platform where autonomous agents collaborate to perform real-time evaluation of business and technology proposals — Flask backend, React frontend.
Full-stack AI-powered decision support
Agentic pipeline that ingests city email notifications, scrapes city websites, extracts meeting details, and generates structured calendars, agendas, and summaries.
1M+ records/week · ~30% accuracy improvement
Hybrid retrieval system combining Neo4j knowledge graphs with vector databases (Weaviate, FAISS) for multi-hop reasoning and context-aware search.
Improved retrieval relevance by ~30%
ML pipeline for an AI-driven hardware pet health product, integrating on-device firmware with cloud backend and processing high-frequency IoT telemetry.
Real-time pet health anomaly detection
Web app to automatically scrape and process transcripts from city meeting videos, enabling downstream NLP and summarization pipelines.
Feeds 1M+ records/week pipeline
Internal Python + Shell data pipelines to automate inventory tracking, sales reporting, and analytics dashboards — driving 30% YoY product growth.
30% YoY growth · 60% less manual reporting
More experiments, research notebooks, and open-source work on GitHub.
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