thakurcoder
Portfolio

Selected work and product impact

A curated set of projects highlighting system design, scalable architecture, and engineering leadership.

1

Blog RAG System

A Retrieval-Augmented Generation pipeline that ingests blog URLs and answers questions grounded in that content.

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Key Highlights

  • Applies RAG to real-world blog data ingestion and QA.
  • Showcases LLM integration and retrieval orchestration.

Tech Stack

PythonRAGLLM APIs
2

Laravel Docs RAG Assistant

An intelligent assistant for conversational Q&A over uploaded documents, initially focused on Laravel documentation.

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Key Highlights

  • Implements retrieval, indexing, and conversation flow for technical docs.
  • Connects Laravel background with AI tooling and RAG.

Tech Stack

PythonRAGVector SearchLLM APIs
3

URL Content Embedding System

A system that crawls URLs, summarizes content with AI, and stores vector embeddings in Pinecone for similarity search.

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Key Highlights

  • End-to-end pipeline: crawl โ†’ summarize โ†’ embed โ†’ store โ†’ search.
  • Strong example of production-style vector search infrastructure.

Tech Stack

PythonPineconeVector EmbeddingsAI Summarization
4

Tripster โ€“ Hotel Booking Platform

A production-style hotel booking platform with advanced search, filtering, and a polished booking flow UI.

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Key Highlights

  • Implements end-to-end booking UX with rich property pages and multi-step flow.
  • Showcases modern frontend patterns with Next.js, TypeScript, and Tailwind.

Tech Stack

Next.jsTypeScriptTailwind CSSNextAuth.js
5

AI Chat UI

A polished chat interface built with Next.js 14 and Tailwind CSS, tailored for AI chat applications.

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Key Highlights

  • Showcases modern glassmorphism UI and theme switching.
  • Ready-made shell UI for LLM-powered products.

Tech Stack

Next.js 14TypeScriptTailwind CSS
6

Typesense Product Search (Laravel)

A Laravel-based product search app integrating Typesense for fast, typo-tolerant product discovery.

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Key Highlights

  • Implements product indexing and search with Typesense.
  • Demonstrates relevance tuning and modern search UX.

Tech Stack

LaravelTypesenseBlade
7

MySQL Agent with OpenAI

A MySQL Agent using the OpenAI Agents SDK to run intelligent operations over relational data.

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Key Highlights

  • Shows agentic patterns directly over MySQL databases.
  • Relevant for data copilots and analytics assistants.

Tech Stack

PythonMySQLOpenAI Agents
8

Content-View Recommendation System

A recommendation system prototype that generates personalized content suggestions from user behavior and content features.

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Key Highlights

  • Classic recommender use case for ranking and feature design discussions.
  • Aligns directly with ML and personalization interests.

Tech Stack

PythonJupyter NotebookML
9

React Chat App with Socket.IO

A real-time chat application using React, Node.js, and Socket.IO.

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Key Highlights

  • Demonstrates event-driven, real-time communication patterns.
  • Useful example for websockets and collaborative UX.

Tech Stack

ReactNode.jsSocket.IO
10

AI-Powered Shopping Assistant

An intelligent shopping assistant that uses natural language to help users discover relevant products.

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Key Highlights

  • Blends recommendations with conversational interfaces.
  • Good example of AI applied to e-commerce discovery.

Tech Stack

PythonAIRecommender Systems