AI engineer building reliable, explainable, and policy-aware AI systems.
I build products where correctness matters: compliance, insurance, environmental regulation, and finance.
- Policy memory drift detection for continuously changing rules
- Grounded RAG systems with citation-first answers
- Real-time decision pipelines and stateful stream processing
- Practical AI products with production-ready web interfaces
Continuous policy monitoring and semantic drift detection engine to keep AI memory aligned with the latest policy state.
Stateful escalation system for air-quality governance using Pathway, WAQI, NASA FIRMS, and explainable decision traces.
Insurance claims copilot that retrieves verified policy clauses and returns auditable, citation-backed decisions.
AI-powered personal finance platform with analytics, scenario simulation, and advisory workflows.
Next.js dashboard prototype for climate reporting and cross-border adjustment workflows.
Python JavaScript TypeScript React Next.js Vite Pathway Firebase Google Cloud Node.js MySQL Vercel
- Policy analyzer and impact predictor systems
- Agentic AI orchestration patterns
- Enterprise-safe AI workflows with strong auditability
- LinkedIn: jeyamoorthi-s-273443309
- Email: jeyamoorthis25@gmail.com
Open to collaborating on AI systems, open-source tooling, and high-impact production builds.