Career Journey

Developed fully autonomous self-thinking Ecofloater system for river cleaning utilizing advanced computer vision models and custom synthetic datasets. Implemented sophisticated camera calibration mechanisms including stereovision and depth vision processing with Intel RealSense cameras. Created custom YOLO and Vision Transformer architectures with reinforcement learning for autonomous decision-making, successfully deployed on NVIDIA Jetson Nano with optimized real-time inference.

Built machine learning models for stock handling analysis and developed systems for verifying original supply amounts in restaurant operations. Created computer vision models for automated cleanliness assessment of utensils, implemented sanitization monitoring systems, and developed vision-based systems for real-time shelf inventory monitoring. Contributed to multiple open-source datasets for hospitality industry AI applications.

Led team of backend developers in building comprehensive college website infrastructure as part of the founding Pilot Batch. Designed system architecture for scalable web applications, managed collection and processing of large-scale institutional data, and implemented robust security measures with CI/CD pipelines. Mentored Co-Pilot Batch and established the foundation for future development teams.

Co-founded startup developing AI-driven application for personalized laptop recommendations. Built dynamic web scraping tools for real-time market data aggregation, established local vendor network connections, and developed comprehensive analysis algorithms generating detailed reports. Created tailored recommendation systems for optimal technology purchasing decisions serving thousands of users.