Smith Ss

Accomplished Computer Vision and Machine Learning Engineer with expertise in developing cutting-edge algorithms for object detection, tracking, and video analysis. Proven success in leading teams to create innovative solutions, such as a real-time contactless palm print recognition system with 75% mAP. Skilled in CI/CD pipelines for MLOps, dataset curation, model training, hardware integration, and deployment. Currently working on EngageVision Pro, a computer vision-based customer engagement tracking system for retail environments. Strong background in Python, OpenCV, PyTorch, TensorFlow, Streamlit, and various data analysis tools. Adept at implementing ETL processes, data validation, hyperparameter tuning, and containerization. Holds a Bachelor's degree in Mechatronics Engineering with a specialization in Robotics and a CGPA of 8.8. Complemented by leadership, time management, and team management skills honed during military service.

Accomplished Computer Vision and Machine Learning Engineer with expertise in developing cutting-edge algorithms for object detection, tracking, and video analysis. Proven success in leading teams to create innovative solutions, such as a real-time contactless palm print recognition system with 75% mAP. Skilled in CI/CD pipelines for MLOps, dataset curation, model training, hardware integration, and deployment. Currently working on EngageVision Pro, a computer vision-based customer engagement tracking system for retail environments. Strong background in Python, OpenCV, PyTorch, TensorFlow, Streamlit, and various data analysis tools. Adept at implementing ETL processes, data validation, hyperparameter tuning, and containerization. Holds a Bachelor's degree in Mechatronics Engineering with a specialization in Robotics and a CGPA of 8.8. Complemented by leadership, time management, and team management skills honed during military service.

Bachelor's degree in Mechatronics Engineering with a specialization in Robotics and a CGPA of 8.8