RAJ CHINCHOLKAR

Software development Engineer @ Instant Information Software Service Pvt.Ltd. i2s2

About

Hi everyone, I am Raj, Software Engineer specializing in MERN Stack and AWS with a background in competitive programming.I focus on building systems that scale. In my current role, I led the migration of a legacy system to the cloud, managing 100,000+ records and cutting data processing time in half through automation and Redis caching.Key Highlights:🚀 SDE Experience: 3 Years (Full Stack & Cloud Architecture)🏆 Coding: 5-Star Gold HackerRank | 350+ DSA Problems Solved☁️ Tech Stack: React.js, Node.js, AWS (S3/EC2), MongoDB, Socket.io🏅 Awards: Smart India Hackathon Finalist (2023)Feel free to reach out via DM or email at rajchincholkar22@gmail.com.

Country

City

India

Industry

Staffing & Recruiting

Skill

Back-End Web Development, Front-End Development, Redux.js, Nodejs , Full-Stack Development, JavaScript, MongoDB, Amazon Web Services (AWS), Next.js, Firebase, java spring , Express.js, Docker, Database Management System (DBMS), Python (Programming Language), Node.js, React.js

Experience

Software development Engineer

Instant Information Software Service Pvt.Ltd. i2s2

2023-1 - Present · 3 yrs 9 mos

Pune, Maharashtra, India

Duties & Impact Architected a scalable full-stack MERN solution to replace legacy workflows, deploying on AWS EC2 to handle 100,000+ records. Boosted executive productivity by 2x through automated Cron-job backups and an integrated messaging system. Implemented granular Role-Based Access Control (RBAC) using JWT & OAuth, ensuring 100% data security via region-wise scoping. Developed the frontend for a high-volume Restaurant POS system using React.js and Context API, resulting in a 30% faster billing process. Key Project: Data Secure (Enterprise CRM & ERP) Challenge: Migrating a decade-old Excel-based workflow to a cloud architecture. Solution: Engineered high-performance pipelines using MongoDB Aggregations and Redis caching. Built a real-time bulk Excel uploader using Socket.io that detects duplicates and merges records. Result: Reduced data entry time by 50% and secured bulk uploads via AWS S3 integration. Tech Stack: MongoDB, Express.js, React.js, Node.js, AWS (S3, EC2), Redis, Socket.io, Java Spring Boot.