---
title: "Shubham Dogra - Full Stack Engineer in Bengaluru | Tal"
description: "Meet Shubham Dogra, SDE - Codeyoung || Full Stack Mobile & Web Developer || System Design based in Bengaluru. AI stack includes anthropic apis, claude, and github copilot. Explore public work links including github and leetcode."
image: "https://tal.club/meet/shubham-dogra-1/share-image"
---

# Shubham Dogra on Tal

## Headline

SDE \- Codeyoung \|\| Full Stack Mobile &amp; Web Developer \|\| System Design

## About

Currently working at Codeyoung as a Full Stack Engineer, contributing to the development of Catalyst, a 1:1 mentor\-student SAT preparation platform\. Responsibilities include end\-to\-end development of the web and mobile app using React\.js, Flutter, Node\.js, Express\.js, and MongoDB, as well as managing AWS infrastructure for backend hosting and asset storage\. Graduated with a Bachelor of Engineering in Computer Science from Chandigarh University\. Skilled in AWS, NoSQL, and Git, with a demonstrated ability to build scalable applications and optimize systems for performance and efficiency\. Focused on delivering impactful and user\-centric technology solutions\.

## Location

Bengaluru

## AI stack

anthropic apis

claude

github copilot

notion

OpenAI Agents SDK

Supabase

## Work experience

Full Stack Engineer at Codeyoung, Apr 2026 \- Present · 5 mos, Catalyst — 1:1 mentor\-student SAT preparation platform \| Flutter, Node\.js, Express\.js, MongoDB, AWS • Spearheaded development of Catalyst from the ground up, owning both frontend and backend as the founding engineer on the project, using Flutter, Node\.js, Express\.js, and MongoDB\. • Provisioned and configured core AWS infrastructure, including EC2 for backend hosting and S3 for asset storage, establishing the platform's production environment\. • Built and shipped the Catalyst mobile app using Flutter, applying BLoC and Clean Architecture for scalable state management, and led releases to the Play Store and App Store\. • Designed and implemented the 1:1 mentor\-student relationship model, handling matching, scheduling, and session\-state logic to support 1,000\+ students across multiple batches\. • Optimized backend APIs to consistently perform above the P95 latency target, with several endpoints meeting P99 benchmarks under production load\. • Collaborated directly with US and UK\-based customers and cross\-functional teams to gather requirements, align on priorities, and iterate on product features\. • Applied core system design principles across Catalyst — indexed MongoDB schema design for scale, modular layered architecture for maintainability, caching and rate\-limiting strategies for performance, and secure auth/validation practices to keep the platform reliable as usage grows\. • Built a real\-time chat feature for mentor\-student communication using WebSockets, evaluating short/long polling first and choosing sockets for lower latency and reduced server load at scale\.

SDE\-1 at Thriving Springs AI, Mar 2024 \- Mar 2026 · 2 yrs 1 mo, Hyderabad, AI\-powered learning platform \| React 18, Node\.js, Express\.js, MongoDB, Redis, Flutter • Optimised legacy MongoDB aggregation pipelines, achieving a 98%\+ reduction in API response times \(20s → &lt;300ms\) and significantly lowering server overhead at scale\. • Built and owned a Flutter cross\-platform \(Android &amp; iOS\) mobile application with 19\.5k\+ downloads and 9k\+ MAU, applying BLoC and Clean Architecture to improve scalability and reduce crashes by 40%\. • Architected a high\-concurrency Redis\-backed leaderboard \(ThriveMiles\) using optimized cache\-write strategies and TTL mechanisms, delivering an 85% improvement in real\-time metric retrieval\. • Enhanced mobile UX through lazy loading and image caching, cutting perceived load times by 66% while maintaining 99\.996% uptime across Android and iOS\. • Designed a scalable, role\-based LMS assessment and competency framework, successfully supporting 100,000\+ learners in production\. • Improved system reliability by integrating New Relic and Postman, reducing RCA time by 30%, and led end\-to\-end Play Store and App Store releases in collaboration with Uber, Apollo, and InCred\.

## Education

Bachelor of Engineering \- BE, Computer Science, CHANDIGARH UNIVERSITY

B\.E\./B\.Tech, Computer Engineering, CHANDIGARH UNIVERSITY

## Public links

- github: https://github\.com/shubhamdogracy
- leetcode: https://leetcode\.com/shubhamdogra

[View the original profile](https://tal.club/meet/shubham-dogra-1)

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