A passionate Full Stack Developer crafting robust, scalable applications with Java Spring Boot, React, and Node.js. With hands-on experience in microservices architecture, AI-powered platforms, and cloud-native deployments, I turn complex engineering challenges into elegant digital solutions. Currently pursuing B.Tech in Computer Engineering at ABES Engineering College, Ghaziabad, with a proven track record of 650+ solved DSA problems and a top 9% global LeetCode ranking. Let's build something exceptional together.
I'm Jayesh Kumar Singh, a dedicated Full Stack Developer currently pursuing a Bachelor of Technology in Computer Engineering at ABES Engineering College, Ghaziabad (CGPA: 7.38). I specialize in building production-grade applications across the entire stack — from React frontends to Spring Boot microservices.
My expertise spans Java, JavaScript, TypeScript, and Python, with deep proficiency in frameworks like Spring Boot, React, Node.js, and Next.js. I architect systems that are scalable, secure, and performance-optimized — from containerized microservices with Docker to AI-powered RAG pipelines using ChromaDB.
What sets me apart is my dual strength in backend engineering and problem-solving — I've solved 650+ DSA problems on LeetCode with a top 9% global ranking and a contest rating of 1772. I maintain 20+ active GitHub repositories spanning full-stack, backend, and AI projects.
A fully distributed microservices e-commerce backend built with Java Spring Boot. Each service (auth, products, orders, cart) is independently deployable with Spring Cloud Eureka service discovery and an API Gateway handling all routing. The system is containerized with Docker for production-ready deployments and secured with JWT + Spring Security role-based authorization.
An advanced Retrieval-Augmented Generation (RAG) platform for analyzing YouTube and Instagram video content. The system ingests video transcripts, chunks them into semantic units, generates vector embeddings, and stores them in ChromaDB for similarity search. A Next.js dashboard delivers streaming AI chat with conversational memory and analytics panels.
A complete MERN-stack food delivery platform with separate customer and admin dashboards. Features 10+ REST APIs covering authentication, cart management, order tracking, and product operations. Real-time delivery status synchronization is powered by Socket.io, with security enforced through JWT authentication and bcrypt password hashing.
A machine learning-powered stock market trend forecasting system trained on 50,000+ historical market records. The pipeline includes data ingestion, feature engineering with Pandas and NumPy, model training, and visual analytics with Matplotlib for comprehensive trend evaluation and interpretation.
An agriculture-focused web platform built with TypeScript and modern web technologies, designed to simplify farmers' access to critical farming resources and information. Features a fully responsive interface optimized for both desktop and mobile devices with structured navigation patterns for rural accessibility.
Milestones that define the journey — from competitive programming to professional certifications.