Software Engineer with years of experience building production AI agent systems and scalable distributed services. I ship end-to-end, from designing multi-agent orchestration and semantic retrieval platforms to architecting microservices handling 500K+ daily transactions.
🎯 Currently: AI Software Engineer at University at Buffalo, building production-grade AI agents using MCP servers and LangGraph that automate enterprise workflows, and semantic search platforms delivering sub-100ms latency across 1,000+ records.
🚀 What I Build:
→ AI Agents & Agentic Systems
Shipping MCP servers, multi-agent orchestration with LangGraph/LangChain, semantic retrieval (RAG), vector-based memory architectures, and LLM evaluation frameworks. Built Agentic MCP Hub (enterprise MCP server for Jira, Slack, SQL integrations) and AutoFlow MCP (plug-and-play browser automation for AI agents).
→ Full-Stack AI Platforms
Architected AutoRSR, a clinical AI platform with React/TypeScript and API integrations that accelerated feature delivery by 3x. Built X-Voice, a conversational voice AI platform with sub-200ms responsiveness. Engineered HIPAA-compliant RAG systems with semantic caching that cut LLM costs by 30%.
→ Distributed Systems & Reliability
Served as DRI for microservices serving 50K+ daily users at 99.99% uptime. Designed event-driven Kafka pipelines processing 500K+ daily transactions with exactly-once semantics. Built cloud serverless ML pipelines with CI/CD, Kubernetes, and OpenTelemetry monitoring.
🎓 MS in Computer Science from University at Buffalo (3.9 GPA)
🏆 AWS, Azure AI, and GCP Certified
→ 🛠️ Tech Stack & Skills: Python, Java, TypeScript, GraphQL, LangChain, LangGraph, MCP, AI Agents, React, GraphQL, AWS, MySQL, MongoDB,
MS in Computer Science | University at Buffalo | GPA: 3.9/4.0
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Enterprise MCP server enabling AI agents to interact with Jira, Slack, and SQL databases. Built with Python and MCP protocol for seamless enterprise workflow automation. Tech Stack: |
Plug-and-play browser automation framework for AI agents. Enables autonomous web interactions with intelligent error handling and retry mechanisms. Tech Stack: |
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Clinical AI platform with React/TypeScript frontend and API integrations. Accelerated feature delivery by 3x with modern architecture and optimized workflows. Tech Stack: |
Conversational voice AI platform with sub-200ms responsiveness. Real-time speech processing with natural language understanding and context-aware responses. Tech Stack: |
