About
Full-stack developer focused on building and shipping products fast using React, Node.js, FastAPI, Flask, and MongoDB. Built ContestHopper (contesthopper.live) to solve the messy problem of discovering coding contests, using MongoDB Atlas Search for fast, fuzzy matching. Also built Ksheeram, a multi-seller e-commerce platform (Flask + React), and DataSage AI, a FastAPI tool for querying datasets with LLMs. I enjoy working across the stack, taking ideas from concept to production, and iterating based on real usage. Graduating April 2026 (B.Tech, AI & ML). Open to fully remote roles worldwide.
Skills & Expertise (16)
Work Experience
Full-Stack Developer
ContestHopper
Present - Present
Architected and shipped a production full-stack platform with React, Node.js, Express.js, and MongoDB, aggregating coding contests across multiple judges into a single, unified discovery experience. Engineered MongoDB Atlas Search with fuzzy matching and autocomplete, delivering instant, typo-tolerant results and significantly reducing time-to-find for users. Designed a mobile-first, responsive UI with dynamic filtering, sorting, and real-time state management to streamline contest discovery across devices. Deployed to production with a continuous deployment workflow, operating live at contesthopper.live.
Developer
Ksheeram
Present - Present
Delivered an end-to-end e-commerce experience with an HTML, CSS, and JavaScript frontend and Flask REST API backend, enabling product discovery, multi-seller cart management, and order tracking. Engineered JWT-based authentication and secure multi-seller order workflows, ensuring reliable session handling and per-seller order isolation. Designed resilient frontend state handling for API failures, session expiration, and real-time UI updates, improving perceived stability under poor-network conditions. Deployed the full stack on Render, shipping a publicly accessible live demo serving real end users.
Developer
DataSage AI
Present - Present
Architected a full-stack platform with React + Vite and a FastAPI backend, allowing users to upload CSV and Excel datasets and generate interactive Plotly.js visualizations on demand. Engineered JWT-secured user sessions and MongoDB-backed metadata storage, enabling persistent, per-user dataset and chart management. Delivered a drag-and-drop upload experience with live progress indicators and dynamic chart rendering, turning raw spreadsheets into insights in seconds.
Education
B.Tech in Artificial Intelligence and Machine Learning - Sri Vasavi Engineering College
2022 - 2026 · Afghanistan
MPC, Board of Intermediate Education - Sri Prakash Junior College
2020 - 2022 · Afghanistan
Certifications
JavaScript Foundations Professional Certificate
Mozilla · 2024
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Skills (16)
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