University School of Automation and Robotics, GGSIPU
Frontend Engineer (React, Next Js) with less than a year in MERN, IoT, and real-time system developm
University School of Automation and Robotics, GGSIPU
New Delhi, Delhi, India
Final-year B.Tech (CSE - IoT) student with hands-on experience in full-stack development, backend APIs, database work, and real-time system building. Comfortable working with JavaScript, Python, TypeScript, C++, SQL, React, Next.js, Node.js, Express, PostgreSQL, MongoDB, Docker, GitHub Actions, and Git-based workflows. Built practical applications with live dashboards, role-based access, telemetry handling, and performance-focused backend logic. Looking for a software development role where I can learn fast, write clean code, and contribute to real product work.
University School of Automation and Robotics, GGSIPU
B.Tech · Computer Science (IoT)
October 1, 2022 – April 1, 2026
IBM SkillBuild
Software Developer Intern
July 1, 2025 – August 1, 2025
Technician Dispatch & Smart Service Tracking System
January 1, 2026 – March 1, 2026
Built a role-based service tracking system with dashboards for customers, technicians, and admins. Implemented JWT authentication, API integrations, and structured backend logic for scalable operations. Designed the system to support future real-time technician tracking and smart alerts. Kept the app responsive across user roles and reduced friction in day-to-day service tracking workflows.
View ProjectSmart RO Purifier IoT App
January 1, 2026 – March 1, 2026
Designed a real-time mobile app to monitor temperature, TDS, water level, pump status, and alerts from an ESP32-based system. Used MQTT for dependable device-to-cloud communication and live updates without slowing down the user experience. Built the app to make monitoring, troubleshooting, and daily control easier from a phone.
View ProjectAquaShield Smart RO Monitoring & Service Platform
September 1, 2025 – April 1, 2026
Built a full-stack monitoring platform that combined ESP32 sensor data with a responsive web dashboard for live tracking. Developed backend APIs to handle temperature, TDS, and system status updates and display them in a clean interface. Added predictive maintenance alerts to improve reliability and help identify issues before they became failures. Reduced API response time to around ~150ms and improved query performance by 40%.
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