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Medhansh Poojari

Full Stack Developer • Ranchi, India • m*********@gmail.com • linkedin.com/••••• • medhanshpoojari.com/•••••

Career Objective

Full Stack Developer with 0 years of experience building and shipping production web applications using React, Node.js, TypeScript, and Python. Proven ability to deliver end-to-end solutions (frontend, backend, database) and integrate ML services and custom engines to solve real problems. Strong foundation in data structures, algorithms, and system design with multiple live projects and public repositories.

Education

Indian Institute of Information Technology Ranchi
Bachelor of Technology in Computer Science and Engineering • Ranchi, India • 2024 – 2028

Technical Skills

Programming Languages: JavaScript,TypeScript,Python,C++,Java,C
Web Technologies: REST APIs
Frameworks and Libraries: React.js,Next.js,Redux,Tailwind CSS,Node.js,Express.js,FastAPI
Databases: SQL,PostgreSQL,MongoDB,MySQL,Database Design
Cloud and DevOps: Docker,Docker Compose,CI,CD,Vercel,Cross-Browser Testing and Debugging
Tools and Methodologies: Git,GitHub,Postman,VS Code
Frontend: HTML5,CSS3,Responsive Web Design,Vite,TanStack Query
Backend: JWT Authentication,Role-Based Access Control,Microservices
Core Competencies: Data Structures & Algorithms,Object-Oriented Programming,System Design,UI,UX to Code Conversion,Agile Development,Clean & Documented Code

Projects

ChessPulse | May 2026 – May 2026
Tools Used: React.js, TypeScript, Tailwind CSS, Vite, C++, REST API, Vercel
  • Built a responsive single-page React + TypeScript frontend with Tailwind CSS supporting 1v1 and vs-AI game modes and real-time board synchronization.
  • Designed and implemented an ELO-based rating system to track player skill and update ratings after matches.
  • Developed a custom C++ chess engine optimized for sub-100ms move generation, integrated via a lightweight REST API.
  • Implemented client-side move validation and server-synced game state to prevent desynchronization and cheating.
  • Deployed the full stack to Vercel and validated cross-browser behavior and responsiveness across device sizes.
PropPredict | May 2026 – May 2026
Tools Used: React, TypeScript, Tailwind CSS, FastAPI, PostgreSQL, Docker, REST API
  • Architected a responsive React + TypeScript frontend with role-based access control for Buyer, Seller, and Admin personas.
  • Designed and implemented 10+ REST endpoints in FastAPI to serve predictions, user management, and role-specific data.
  • Integrated client-side form validation and multi-role UI state management to ensure secure, consistent user flows.
  • Modeled and implemented PostgreSQL schemas for property listings, user roles, and historical price data.
  • Containerized frontend, backend, and database using Docker Compose to provide a one-command reproducible dev environment.
DocuParse AI | June 2026 – June 2026
Tools Used: React 19, Node.js, Express.js, PostgreSQL, Python, FastAPI, JWT Authentication
  • Built a React 19 frontend with a human-in-the-loop review interface for verifying automated document extraction across multiple field types.
  • Implemented a Node.js/Express backend with JWT authentication to securely manage reviewer sessions and extraction workflows.
  • Integrated a Python FastAPI microservice for automated field extraction to reduce manual data-entry workload.
  • Designed PostgreSQL schemas and API contracts for storing extracted data, review decisions, and audit trails.
  • Implemented role-based access to separate review and admin functionality and ensured secure data flows between services.
Sorting Simulator | 2026 – 2026
Tools Used: React.js, Vite, TypeScript, JavaScript, HTML5, CSS3
  • Developed an interactive algorithm visualizer that animates Bubble, Selection, Insertion, Merge, and Quick Sort with step-by-step comparisons.
  • Built a responsive UI with controls for array size (100+ elements), animation speed, and randomized input generation to aid learning.
  • Implemented efficient state updates to maintain smooth animations and accurate step tracing for algorithm education.
  • Optimized DOM updates and render performance to ensure consistent frame rates at larger array sizes.
  • Packaged and deployed a live demo with documentation to support students and engineers studying algorithm complexity.

Achievements

  • Multiple live full-stack projects with public repos and demos — 2026: Designed, developed, and deployed 6+ production-ready full-stack projects with documentation and live demos.
  • Competitive programming accomplishments — 2026: Codeforces max rating 1421 (Specialist) and CodeChef 3-Star; 700+ problems solved across platforms.
  • Selected Participant, Amazon ML Summer School — 2026: Competitively selected for Amazon ML Summer School focused on applied machine learning techniques.

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