Building Production RAG Pipelines with TypeScript and Vector Search
A practical guide to chunking, embeddings, hybrid retrieval, and real-time context injection for LLMs.
An odyssey through generative AI, agentic systems,
and modern interfaces, driven by curiosity and build-first design.
Building high-performance full-stack web applications, RAG pipelines, and intelligent AI tooling. Passionate about exploring emerging tech and creating intuitive software that solves real problems.
Let's ConnectSoftware Engineer specializing in TypeScript, Next.js, Python, and AI agent architectures. Dedicated to building scalable web services, robust APIs, and interactive client applications.
A comprehensive overview of the tools, languages, and frameworks leveraged to build scalable architectures and immersive client systems.
A curated selection of live projects, experiments, and open-source contributions with real-time metrics.
Retrieval-Augmented Generation pipeline built with TypeScript and vector indexing for intelligent context-aware document queries.
High-productivity developer framework and build automation suite designed with TypeScript and modern architectural patterns.
Interactive AI-powered language assistant and pronunciation improvement platform designed for real-time speech evaluation.
Comprehensive modern learning management system featuring interactive course modules, user analytics, and structured progress tracking.
Achievements, open-source roles, and certifications earned along my engineering and developer journey.
Actively contributed to open-source developer repositories, helping beginners adopt modern Git and software engineering practices.
Completed intensive practical engineering coursework and real-world project development in data workflows and software engineering.
Developed applied predictive analytics and computer vision models during the graduate rotational internship program.
Live contributions fetched directly from Github.
Thoughts, experiments, and deep dives into the systems I build.
A practical guide to chunking, embeddings, hybrid retrieval, and real-time context injection for LLMs.
Leveraging shared types across Next.js 16, GraphQL schemas, and database layers for end-to-end safety.
Handling webhooks, transactional state, idempotency, and security in modern checkout flows.