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Github Snake Animation

SAMRIDH SINGH

Typing SVG

About Me

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.

  • πŸŽ“ B.Tech. Industrial Internet of Things (2023-2027) at GGSIP University, USAR
  • πŸ† SIH 2024 National FInalist and Delhi Police Cyber Hackathon Winner
  • πŸ” Currently working on: AI-Powered Plant Location Optimization System
  • 🌱 Exploring advanced ML model deployment and edge computing
  • πŸ₯‹ 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.

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