Dynamic professional with experience in NVidia-Affiliated Program, specializing in engineering real-time people counting systems utilizing deep learning and OpenCV. Proficient in Java, REST API development, and database management, demonstrating strong problem-solving abilities. Proven track record of driving impactful solutions in technology-focused environments.
Built a full-stack Mental Health Tracking & Support Platform, 08/2024 - 11/2024, A web platform where users can track mood, access self-help resources, connect with therapists, and get AI-powered mental wellness recommendations., Helped users track daily mood variations and identify stress triggers. Contributed to society by increasing awareness of mental health and providing affordable, tech-based well-being support., Frontend: React.js, HTML, CSS, JavaScript, Database: MongoDB / MySQL, Cloud & Deployment: Google Cloud Platform (GCP) / AWS Real-Time person detection using machine learning, 01/2025 - 04/2025, Designed and implemented a real time person detection system to automatically count and highlight individuals in classroom., Successfully detected and counted up to 8 persons in a frame with over 90% confidence in most cases. Useful in automated attendance. Achieved detection accuracy of ~90% in various environments., Python, OpenCV, YOLO, NumPy, Jupyter Notebook, TensorFlow