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Results-oriented IIoT and AI Engineering student with a proven record of delivering real-world, scalable technical solutions. Specializing in machine learning, sensor integration, and embedded systems design, I have earned national competition accolades that validate my innovative approach.
π B.Tech. Industrial Internet of Things (2023-2027) at GGSIP University, USAR
π SIH 2024 National FInalist and Delhi Police Cyber Hackathon Winner
π Currently working on: AI-Powered Plant Location Optimization System
π± Exploring advanced ML model deployment and edge computing
π₯ Black Belt in Karate Shito-ryu Sanshinkan
Key Achievements
Delhi Police Hackathon Winner: Engineered a sophisticated spam SMS detection system, attaining 97% accuracy in mitigating cyber threats.
Smart India Hackathon National Finalist: Ranked in the top 5 in our problem statement among 492,960 national participants.
Hackathon Adjudicator with NYU: Collaborated with NYU and GDG USAR to evaluate 40+ student projects across 5 technical datasets, provided structured feedback to 120+ participants.
Tech Stack
AI & Machine Learning
IoT & Embedded Systems
Web Development & Cloud
Experience & Leadership
AIML Co-lead, Google Developers Group USAR
Organized technical events including TechWinterBreak workshops with 120+ participants. Co-organized inter-college hackathon with NYU professor drawing 100+ participants.
Executive Member, IEEE USAR
Led workshops on IoT, embedded systems, and AI with 100+ student attendance per workshop. Fostered technical knowledge sharing.
Image Processing Intern, IETE (Aug 2023 - Sep 2023)
Developed and optimized real-time object detection models using OpenCV. Reduced inference latency by 30%, achieving detection at 25 FPS on standard hardware.
IoT Intern, Pantech e Learning (Jun 2023 - Jul 2023)
Built IoT systems using Arduino and microcontrollers. Integrated sensor data from over 10 sources, reducing processing latency by 35% for real-time applications.