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Techy-prashant/README.md
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FULL-STACK • AI & ML • DATA SCIENCE


LinkedIn GitHub Email Portfolio Resume

About

Most of my work focuses on building robust web applications and integrating machine learning solutions. I'm passionate about system design and creating digital experiences that are both highly functional and visually engaging.

  • Studying: C, C++, and the MERN Stack (MongoDB, Express, React, Node.js).
  • Working on: ProjectOS, mastering foundational programming and backend architecture.
  • Exploring: Artificial Intelligence, Data Science workflows, and modern web architectures.

Stack

React Next.js Vue.js Tailwind TypeScript Node.js Express Flask Python C++ Java PostgreSQL MongoDB MySQL Figma Blender Linux

Selected builds

  • Portfolio v3: Personal portfolio showcasing my development journey, projects, and skills. Built with modern web technologies and a focus on sleek user experience.
  • ProjectOS: A foundational learning environment focusing on core concepts like C, C++, and System Design.

GitHub Stats

techy-prashant

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  1. AutoEverGreen AutoEverGreen Public

    small Windows utility for executing controlled, persistent Git workflows without keeping a terminal open.

    Python 1

  2. portfolio-v3 portfolio-v3 Public

    Hehe, My portfolio... go ahead check it out

    TypeScript 1

  3. Scalable-Business-Entity-Resolution Scalable-Business-Entity-Resolution Public

    Scalable, out-of-core ML pipeline for multi-source business entity resolution, candidate matching, and high-volume inference.

    Python 1

  4. AgriScope AgriScope Public

    Interactive web application designed to help users explore and compare agricultural datasets.

    Python

  5. Certificate-Generator Certificate-Generator Public

    Professional web application for creating, issuing, managing, and verifying certificates for Namdapha House.

    TypeScript 1

  6. mini-project_Langchain mini-project_Langchain Public

    RAG system engineered to answer complex enterprise HR policy queries with 100% context grounding, zero hallucination, semantic vector retrieval via FAISS, and Google Gemini LLMs

    Python