---
title: "Shivanshu Mangal - Open Source Developer - EDMS(HashedToken) in Greater Delhi Area | Tal"
description: "Meet Shivanshu Mangal, Full-Stack Developer | Building Scalable Systems & AI-Powered Products | React • Node • Redis• Docker • Qdrant | open to work based in Greater Delhi Area. Explore public work links including github."
image: "https://tal.club/meet/shivanshu-mangal/share-image"
---

# Shivanshu Mangal on Tal

## Headline

Full\-Stack Developer \| Building Scalable Systems & AI\-Powered Products \| React • Node • Redis• Docker • Qdrant \| open to work

## About

I’m a builder focused on creating scalable systems and real\-world products\. Currently pursuing B\.Tech in Computer Science at IIIT Sonepat, I spend most of my time working on full\-stack applications and exploring how AI can be integrated into practical solutions\. I’ve built: • A distributed task queue system using Node\.js and Redis to handle asynchronous workloads efficiently • AI\-powered platforms for automation and problem\-solving \(complaint classification, mental health chatbot\) • Real\-time dashboards and full\-stack applications using React, FastAPI, and modern backend tools I enjoy working at the intersection of: • Systems design \(scalability, performance, distributed processing\) • Full\-stack development \(React, Node\.js, FastAPI\) • AI integration into real\-world use cases Currently: • Strengthening DSA and system design fundamentals • Actively participating in hackathons and building projects • Looking for internship opportunities where I can contribute and grow fast I’m especially interested in building products that are not just technically strong, but actually useful\. Let’s connect if you're building something interesting 🚀

## Location

Greater Delhi Area

## Work experience

Open Source Developer \- EDMS\(HashedToken\) at HashedTokens, Apr 2026 \- Present · 2 mos, Remote, Contributing to an Endpoint Documentation System \(EDMS\) focused on scalable visualization and exploration of large API datasets\. Worked on designing and implementing features such as tag\-based and segment\-based filtering, scalable pagination \(tested up to 5K endpoints per page\), and modular data handling using independent endpoint files and mapping layers\. Focused on improving performance by reducing full dataset scans and enabling efficient lookups\. Also contributed to building and integrating a WebView UI for structured endpoint inspection\. Gained hands\-on experience working in a collaborative environment with evolving requirements and iterative feedback\.

## Education

Bachelor of Technology \- BTech, Computer Science, Indian Institute of Information Technology\(IIIT\), Sonepat

High School Diploma, Gd Goenka public school muzaffarnagar

## Public links

- github: https://github\.com/shivanshumangal007\-dev

[View the original profile](https://tal.club/meet/shivanshu-mangal)

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