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Building a Production-Ready RAG Pipeline
A comprehensive guide to designing, indexing, reranking, and generating grounded responses with Retrieval-Augmented Generation.

Full-stack developer · Next.js, Node.js, TypeScript
Building AI-powered, production-ready web applications with clean APIs, scalable backend systems, and intuitive user experiences. 1+ year of real-world shipping experience. Open to remote contract and full-time opportunities.
End-to-end delivery with scalable APIs & databases.
Autonomously ships across international timezones.
Production-ready, battle-tested clean codebases.
Built and shipped a full-stack client platform for global residency, citizenship, and business advisory services using Next.js, TypeScript, and Supabase.
Engineered a custom CMS module for dynamic document generation and client workflow automation, replacing a manual document-handling process.
Built and improved UI components on a Web3 platform using Next.js + Tailwind CSS, owning key frontend features from design to deployment.
Improved responsiveness, layout structure, and component reusability across production applications.
Real-world applications I’ve designed, built, and shipped to production.

An advanced, AI-powered product label and ingredient analysis platform. Extracts text via OCR, runs intelligent safety evaluations through the Gemini API, and offers an interactive contextual chat interface.

A sleek, production-grade billing and custom invoice generation platform built specifically for modern freelancers, creators, and small businesses to handle client transactions seamlessly.

An interactive, zero-setup exploratory data analysis and visualization tool that empowers developers and analysts to effortlessly inspect CSV datasets and uncover statistical patterns.
Bachelor of Technology in Computer and Communication Engineering. Focused on distributed systems, modern web architectures, and algorithms.
A comprehensive guide to designing, indexing, reranking, and generating grounded responses with Retrieval-Augmented Generation.