Backend engineer, shipping AI into production
I build APIs, microservices and AI features (RAG, agents) that hold up in production. 6+ years on enterprise SaaS.
I'm a backend, full-stack and AI 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.
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.
Offline-first time-attendance PWA with IndexedDB persistence, Azure MSAL auth, and real-time sync when the network returns.
SELECT customer, SUM(amount) AS rev FROM orders WHERE year = 2026 GROUP BY customer ORDER BY rev DESC LIMIT 10;
Natural-language SQL assistant powered by GPT-4o-mini via the Vercel AI SDK, with real-time streaming responses.
I handle the full picture - frontend, backend, AI, database, deployment. Whether you need a product built from scratch or an engineer to strengthen your team, I ship production-ready code.
Take your idea from design to a deployed, production-ready product. I handle the frontend, backend, database, auth, payments and infrastructure so you ship faster with one engineer instead of three.
Add chat with your data, smart search, document Q&A or AI agents that actually work on your real company data - built into your existing product, not a standalone demo.
Fix slow APIs, untangle messy architecture, migrate to microservices, set up CI/CD, or integrate third-party services. I dig into what you already have and make it better.
Clear deliverables, fixed quote.
Ongoing development and support.
Architecture review, AI feasibility, or code review.
20 minutes to understand the problem.
A written scope, timeline and fixed price or retainer.
You see progress every week, in your repo.
Docs, a deployment guide and code your team can maintain.