---
title: "Ravi Shyam Singh - Junior Java Developer in Chennai | Tal"
description: "Meet Ravi Shyam Singh, Full Stack Developer (MERN + AI) | React · Node.js · FastAPI · LangChain · Docker | IEEE Published · IIT Delhi LoR · AWS Certified | Open to Work — Fresher 2026 based in Chennai."
image: "https://tal.club/meet/ravi-shyam-singh/share-image"
---

# Ravi Shyam Singh on Tal

## Headline

Full Stack Developer \(MERN \+ AI\) \| React · Node\.js · FastAPI · LangChain · Docker \| IEEE Published · IIT Delhi LoR · AWS Certified \| Open to Work — Fresher 2026

## About

I don't just write code — I ship things that work in production\. In the past year, I've built a browser\-based facial recognition gym system \(95%\+ accuracy with TensorFlow\.js — zero hardware cost\), a multi\-tenant feature flag platform with role\-based access, an AI Document Q&A app with Whisper ASR and Redis\-cached vector search, and a FastAPI \+ LangGraph CRM module — all from scratch, on my own initiative\. My stack: React · TypeScript · Node\.js · Express · MongoDB · Python · FastAPI · LangChain · LangGraph · Docker · Firebase · TensorFlow\.js Beyond building, I co\-authored a research paper accepted at ICCiEST 2026 \(IEEE\), placed Top 7 of 700\+ at a state\-level hackathon, and hold certifications from Google \(AI Agents Intensive\) and AWS \(Solutions Architecture\)\. I also carry a Letter of Recommendation from IIT Delhi\. I'm a May 2026 B\.Tech CS graduate actively looking for entry\-level roles as a Full Stack Developer, AI Engineer, or Python Backend Developer — open to Chennai, Hyderabad, and remote\. 📩 Let's talk: ravishyamsingh52325@gmail\.com \| 🔗 See my work: ravishyamportfolio\.netlify\.app I build things that work — full\-stack applications, AI\-powered backends, and real products used by real people\. I'm a B\.Tech CS Engineering graduate \(May 2026\) with hands\-on experience shipping production\-grade systems: a multi\-tenant Feature Flag platform, an AI Document Q&A app with Whisper ASR and vector search, a CRM module built with FastAPI \+ LangGraph, and a Smart Gym Management system with browser\-based facial recognition achieving 95%\+ accuracy — all on my own initiative\. My stack: React · TypeScript · Node\.js · Express · MongoDB · Python · FastAPI · Django · Flask · LangChain · LangGraph · Docker · Firebase · TensorFlow\.js Beyond code, I've co\-authored a research paper accepted at ICCiEST 2026 \(IEEE\) on a Geo\-Prioritized Donor Matching Algorithm, ranked Top 7 out of 700\+ participants at a state\-level hackathon, and served as a Campus Ambassador for IIT Delhi's BECon '26\. I also hold certifications from Google \(AI Agents Intensive, Prompt to Prototype\) and AWS \(Solutions Architecture\)\. I'm actively seeking entry\-level Full Stack Developer, AI Engineer, or Python Backend Developer roles — open to Chennai, Hyderabad, and remote\. 📩 Let's connect: ravishyamsingh52325@gmail\.com \| View my work: https://ravishyamportfolio\.netlify\.app/

## Location

Chennai

## Work experience

Junior Java Developer at Cryptography Learning Platform, 2025 \- 2026 · 1 yr, Engineered an interactive cryptography learning lab adopted by 150\+ students, delivering multi\-cipher simulations and story\-driven walkthroughs with 99% content accuracy Built a 99% secure authentication system using Firebase Auth with protected routes and real\-time session sync, reducing unauthorized access incidents to zero Designed a responsive Tailwind CSS UI supporting both classroom and remote learning, achieving 100% course\-completion tracking across all enrolled students Implemented automated progress dashboards enabling educators to monitor individual student performance in real time, cutting manual reporting effort by \~70% Stack: React · TypeScript · Firebase · Tailwind CSS · Node\.js Engineered an interactive cryptography lab adopted by 150\+ students, delivering multi\-cipher simulations and story\-driven walkthroughs with 99% content accuracy Built a 99% secure authentication system using Firebase Auth with protected routes and real\-time session sync, reducing unauthorized access incidents to zero Designed a responsive Tailwind CSS UI supporting both classroom and remote learning, achieving 100% course\-completion tracking across all enrolled students Implemented automated progress dashboards enabling educators to monitor individual student performance in real time, cutting manual reporting effort by \~70% Built a visual algorithm stepper that renders each encryption/decryption step in sequence — allowing students to pause, rewind, and inspect intermediate states for deeper conceptual understanding Developed a challenge engine with 60\+ scenario\-based problems covering frequency analysis, known\-plaintext attacks, and key recovery — with automated grading and progressive hints Implemented story\-driven walkthrough mode teaching the historical context and mathematical foundations of each cipher before presenting the interactive simulation Supported 6 cipher algorithms — Caesar, Vigenère, Playfair, Rail Fence, RSA, and AES

Full Stack Engineer at Smart Gym Access & Management Platform, Apr 2025 \- Dec 2025 · 9 mos, Built browser\-based facial recognition using face\-api\.js and TensorFlow\.js, enabling zero\-contact member verification with 95%\+ accuracy — eliminating hardware costs entirely Implemented Firebase Auth with role\-based access control and automated attendance tracking, reducing manual admin overhead by 80% Delivered a PWA\-style full\-stack app \(React, Tailwind, Node\.js, Express, MongoDB\) with seamless cross\-device experience and offline resilience Stack: React · TensorFlow\.js · face\-api\.js · Node\.js · Express · MongoDB · Firebase · Tailwind CSS Built browser\-based facial recognition using face\-api\.js and TensorFlow\.js, enabling zero\-contact member verification with 95%\+ accuracy — eliminating hardware costs entirely Implemented Firebase Auth with role\-based access control and automated attendance tracking, reducing manual admin overhead by 80% Delivered a PWA\-style full\-stack app \(React, Tailwind, Node\.js, Express, MongoDB\) with seamless cross\-device experience and offline resilience Engineered 128\-dimensional FaceNet embeddings stored in MongoDB with Euclidean distance matching, achieving under 300ms end\-to\-end recognition time on standard hardware Built a 3\-role permission system \(member, staff, admin\) with Designed a real\-time admin dashboard showing live gym occupancy, daily check\-in volume, membership expiry alerts, and attendance trend charts Implemented a member self\-service portal for viewing attendance history, remaining plan days, and class schedules — reducing front\-desk queries by 60% Built a membership plan management system tracking active plans, payment status, and expiry dates with automated renewal reminder notifications via email Integrated a configurable confidence threshold for face matching, allowing gym operators to tune the accuracy\-speed tradeoff based on entry\-point hardware capability Architected the Node\.js \+ Express REST API with MongoDB for all member CRUD operations, attendance logging, and plan management with JWT\-secured endpoints\.

AI Engineer\(MERN Stack\) at Interactive Java Learning Platform, 2024 \- 2025 · 1 yr, Built a full\-stack Java learning platform adopted by 200\+ students, delivering curriculum content with 99% accuracy across structured modules and gamified exercises Engineered a secure authentication system using Firebase Auth with protected routes and real\-time Firestore sync, achieving 99% uptime and zero unauthorized access incidents Implemented 100% course\-completion tracking with real\-time progress sync per student, enabling instructors to identify drop\-off points and intervene proactively Developed analytics dashboards with React Query and Context API, giving admins live visibility into enrollment, activity, and performance metrics across all users Designed gamified learning modules \(badges, streaks, progress rings\) that increased average session duration by 40% compared to a traditional static curriculum format Architected the frontend with React, TypeScript, Vite, Tailwind CSS, and shadcn/ui — delivering a responsive, accessible UI with sub\-2s load times across devices Built a quiz engine supporting multiple\-choice and code\-output questions with automated grading, instant feedback, and per\-question analytics for instructors Implemented a 3\-role permission model \(student, instructor, admin\) with Firestore security rules enforcing access at both route and data layer levels Integrated a smart notification system alerting students to new content, pending deadlines, and streak breaks — improving weekly return rate by 25% Deployed lazy loading and Vite code\-splitting across all route modules, keeping initial bundle size under 150KB and achieving Lighthouse performance scores above 90 Enabled instructor content publishing with a rich\-text module editor, allowing non\-technical educators to create, reorder, and update lessons without developer involvement\.

## Education

Bachelor of Engineering \- BE, Computer Software Engineering, kalasalingam University

[View the original profile](https://tal.club/meet/ravi-shyam-singh)

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