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shashankcoc/README.md

Black Yellow Modern Programmer LinkedIn Banner(1)

Hi, I'm Shashank πŸ‘‹

Full Stack Engineer with 4+ years of experience building AI-powered SaaS applications, scalable React frontends, Python services, and cloud-native systems.

πŸš€ React β€’ TypeScript β€’ Next.js β€’ Node.js β€’ Python β€’ AWS β€’ AI β€’ LLMs 🌍 Open to Global Opportunities

About Me

I'm a Full Stack Engineer with 4+ years of experience building scalable web applications, enterprise dashboards, AI-powered workflows, and cloud-native systems.

I enjoy solving real-world problems through modern web technologies, automation, and Large Language Models.

Currently exploring:

β€’ Agentic AI β€’ Multi-Agent Systems β€’ Model Context Protocol (MCP) β€’ RAG & Vector Databases β€’ Distributed Systems


πŸ’» Tech Stack I work with

JavaScript TypeScript Python React Next.js Node.js Express.js HTML5 CSS3 Tailwind CSS Material UI Redux Toolkit MongoDB PostgreSQL AWS Docker Git GitHub GitLab Jenkins Jest Webpack Vite OpenAI Claude Amazon Bedrock REST API GraphQL Playwright Electron FastAPI LangChain GitHub Actions Postman Linux VS Code

πŸš€ Featured Projects

ReviQR

Production-grade, multi-tenant SaaS platform for QR-based review management and AI-powered sentiment analysis. ReviQR helps local businesses intelligently route customer feedback, convert positive experiences into public reviews, and privately capture negative feedback for resolution.

Highlights:

  • πŸ”— Smart QR routing with 4–5 star β†’ Google/TripAdvisor and 1–3 star β†’ private feedback flow
  • πŸ€– OpenAI-powered AI Review Assistant for contextual review generation
  • πŸ“Š Real-time analytics for sentiment, NPS, branch performance, and feedback trends
  • πŸ” Multi-tenant RBAC with JWT authentication, rate limiting, and salted IP hashing
  • πŸ—οΈ Turborepo monorepo with separate web, API, database, and shared packages
  • πŸš€ Production deployment using Vercel, Railway, Supabase, Docker, and PostgreSQL

Tech: Next.js β€’ React β€’ TypeScript β€’ Node.js β€’ Express β€’ PostgreSQL β€’ Drizzle ORM β€’ OpenAI β€’ Redis β€’ Docker β€’ Turborepo β€’ Vercel β€’ Railway β€’ Supabase

VideoMind AI

AI-powered YouTube knowledge base and RAG assistant that transforms YouTube videos into searchable, conversational knowledge bases. Users can provide a YouTube video, process its transcript, and interact with the content using semantic retrieval and LLM-powered Q&A.

Highlights:

  • πŸŽ₯ YouTube transcript extraction and document processing
  • 🧠 RAG pipeline for context-aware question answering
  • πŸ”Ž Semantic search using FAISS vector embeddings
  • πŸ€– OpenAI-powered conversational Q&A
  • ⚑ FastAPI backend with React + Vite frontend
  • 🧩 Recursive text splitting and retrieval pipeline for long-form video content

Tech: Python β€’ FastAPI β€’ React β€’ Vite β€’ LangChain β€’ OpenAI β€’ RAG β€’ FAISS β€’ Vector Embeddings β€’ YouTube API

Open Source

Open to collaborations.

Interested in AI, SaaS and DevTools.

Pinned Loading

  1. jiffy-labs/jiffyscan-frontend jiffy-labs/jiffyscan-frontend Public

    TypeScript 23 27

  2. ReviQR ReviQR Public

    TypeScript 1

  3. VideoMindAI VideoMindAI Public

    An AI-powered YouTube Chat Assistant that transforms any YouTube video into a searchable knowledge base. Paste a video URL, automatically extract transcripts, build semantic embeddings with RAG, an…

    JavaScript 1

  4. 2019.fossasia.org 2019.fossasia.org Public

    Forked from FOSSASIA-Web/2019.fossasia.org

    FOSSASIA Summit 2019 https://2019.fossasia.org

    HTML 1

  5. ai-job-application-assistant ai-job-application-assistant Public

    TypeScript

  6. Perfect-Dashboard Perfect-Dashboard Public

    JavaScript