Aspiring Software Developer
Computer Science undergraduate building at the intersection of frontend engineering and connected IoT systems. Currently engineering TerraWarn AI for early landslide warnings and serving as GeeksforGeeks Campus Mantri.
I am a 3rd-year Computer Science Engineering undergrad at Samrat Ashok Rajkiya Engineering College, Mirzapur. My journey in technology began with a curiosity for hardware and microcontrollers—wiring sensors, writing C++ firmware, and wondering how physical signals can be visualized on the web in real-time.
Today, I specialize in building modern web applications with React, TypeScript, and Tailwind CSS, coupled with embedded IoT systems using ESP32 microcontrollers. As the GeeksforGeeks Campus Mantri, I also organize hackathons, technical workshops, and mentor students eager to start building.
When I'm not pushing commits, I solve data structures and algorithmic challenges on LeetCode and Codeforces, explore distributed architectures, and tinker with real-time sensor telemetry.
Ran workshops and challenges; grew the campus tech community.
B.Tech, Computer Science Engineering
Higher Secondary Education
AI-powered landslide early warning system with live risk mapping.
Approach: Built a web platform that pulls terrain and weather signals into one risk model, renders live hazard zones on an interactive Leaflet map and surfaces alerts in a dashboard readable on a low-end phone.
Impact: A working public deployment that turns scattered environmental data into a single, glanceable risk picture for a region — currently in active development.
Real-time cardiac monitoring built at the REC Sonbhadra incubation centre.
Approach: Contributed to signal acquisition, filtering and wireless transmission under Dr. Gaurav Pandey — pairing biomedical sensors with an IoT pipeline that streams readings to a remote dashboard.
Impact: Enabled continuous remote patient monitoring, letting clinicians assess cardiac health without the patient being in the room.
Low-cost IoT rig detecting microplastic pollution in water bodies.
Approach: With Team IoTronix, built an embedded sensing unit that samples water in place and pushes readings to the cloud for real-time visualisation.
Impact: An affordable, scalable monitoring approach that turns one-off lab tests into a continuous pollution feed for decision makers.
Open to freelance work, internships, and collaborative software or IoT engineering opportunities.