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6+ years shipping production software — enterprise platforms, microservices, and the AI systems that make them smarter.
I'm a full stack engineer with 6+ years shipping production software for enterprise clients. My work spans the whole stack, but I'm most at home in the backend: service architecture, message queues, and the data layer that keeps things fast at scale.
Lately I focus on applied AI — agentic workflows, semantic search, and retrieval-augmented generation. I care about clean APIs, observable systems, and shipping things people actually use.
Multi-agent AI system for a large industrial enterprise — LangGraph orchestrates specialised agents with human-in-the-loop approval, Qdrant grounds answers in enterprise knowledge, deployed inside Microsoft Teams.
End-to-end HRMS platform covering the full employee lifecycle — payroll, attendance, leave, onboarding, document management, and custom workflows — built on a microservices architecture for scale and reliability.
AI-powered data analytics platform — ask a question in plain English, get SQL, results, and a full dashboard generated from a single prompt. Supports 6+ LLM providers behind one interface.
Offline-first time-attendance PWA with IndexedDB persistence, Azure MSAL auth, and real-time sync when the network returns.
Natural-language SQL assistant powered by GPT-4o-mini via the Vercel AI SDK, with real-time streaming responses.