Opening Summary
AI Engineer with 5+ years of experience building production-grade agentic AI platforms and multi-agent LLM systems across SaaS, fintech, and insurance. Strong focus on scalable, low-latency AI architectures and reliable deployment in real-world environments.
Core Skills & Expertise
- Machine Learning (classical ML, model development, evaluation)
- Agentic AI systems, multi-agent orchestration (MCP/A2A)
- LLMOps: observability, evaluation, guardrails, memory systems
- Agentic RAG optimization and context engineering
- Vector databases, caching strategies, low-latency architectures
- LangGraph, LangChain, FastAPI, AWS CI/CD pipelines
Work Experience & Achievements
- Built and deployed a full-stack real estate AI assistant handling end-to-end workflows across WhatsApp and web platforms
- Designed scalable AI systems with Redis/PostgreSQL memory layers, improving response latency and reliability
- Implemented continuous evaluation and feedback loops to enhance system performance and safety
Looking to contribute to teams building cutting-edge AI products, where I can design scalable agentic systems, improve LLM reliability, and drive real-world impact through production-ready AI solutions.