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Anshul1023/README.md
Typing intro

Portfolio LinkedIn Email

๐Ÿ‘‹ About Me

I am a Full Stack Developer focused on building modern digital products with strong frontend execution, reliable backend systems, and practical AI integrations.

My work is centered on turning ideas into clean interfaces, scalable APIs, and production-minded applications that feel polished to users and maintainable to teams.

  • ๐Ÿ“ Based in Faridabad, India
  • ๐Ÿ’ผ Open to full-stack, frontend, and backend engineering opportunities
  • ๐Ÿš€ Interested in React, TypeScript, FastAPI, PostgreSQL, and applied AI products

๐Ÿ› ๏ธ Core Stack

Tech stack

โœ… What I Bring

  • Build responsive, user-focused interfaces with attention to usability and visual polish
  • Design backend systems with clear API structure, validation, and maintainable logic
  • Turn AI capabilities into product features that are practical, usable, and demo-ready
  • Write code with a strong focus on readability, consistency, and scalability

๐ŸŒŸ Featured Projects

A full-stack AI storytelling application with local LLM generation, multilingual narration, cinematic playback, and a polished React + FastAPI experience.

Stack: React, JavaScript, FastAPI, Ollama, Edge TTS

A real-time AI interview assistant that listens to voice or typed questions and streams answers to a hidden overlay designed to stay invisible during screen sharing and recording.

Stack: JavaScript, AI streaming, real-time UI tooling

A full-stack platform for tracking resource usage, enforcing capacity rules, managing active sessions, and generating accurate billing records.

Stack: React, TypeScript, FastAPI, SQLAlchemy

A local AI resume analysis and Q&A application that uses Streamlit, Ollama, and Llama 3 to review resumes and answer follow-up questions.

Stack: Python, Streamlit, Ollama, Llama 3

๐Ÿค Letโ€™s Connect

If you are hiring for a full-stack, frontend, or backend-focused role, I would be glad to connect.

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  1. adaptive_ai_engine adaptive_ai_engine Public

    Adaptive AI Content Engine is a production-level AI application that demonstrates how modern LLM systems can be controlled, structured, and optimized for different use cases.

    JavaScript 1

  2. audiodownloader audiodownloader Public

    A full-stack media downloader built with React, TypeScript, and FastAPI that fetches URLs and returns downloadable MP4 files.

    TypeScript 1

  3. resume_analyzer resume_analyzer Public

    A local AI resume analyzer built with Streamlit, Ollama, and Llama 3 for resume review, skill insights, and follow-up Q&A.

    Python 1

  4. usage-billing-system usage-billing-system Public

    A full-stack usage and billing platform built with React, TypeScript, and FastAPI to track sessions, enforce capacity limits, and calculate charges.

    TypeScript 1