Robotics and Artificial Intelligence Software Engineer with outstanding experience in developing and deploying machine learning models for real-time advanced intelligent systems.
Expert in computer vision (OpenCV, YOLO), NLP and predictive analytics, with proven success in enhancing security via biometric authentication and anomaly detection. Skilled in Python, TensorFlow, PyTorch and AWS, with expertise in optimizing scalable AI pipelines.
Specialized in AI, Machine Learning, and Computer Vision with expertise in Python, Deep Learning frameworks and deployment solutions. Experienced in building robust AI systems and end-to-end machine learning pipelines.
Developed a skin cancer detection model using the HAM10000 dataset with CNN to capture intricate features, improving accuracy to over 97% using data augmentation.
Developed a real-time vision system for drones used in search and rescue using YOLOv9 on NVIDIA Jetson to enable edge processing with rapid identification capabilities.
Developed a Python-based AI assistant utilizing NLP to improve productivity by 30% with AI-powered task management and WebSocket for real-time communication with latency under 150ms.
Led the development of an autonomous fire-fighting robot integrating LiDAR, YOLOv8 and the A* algorithm for path planning, achieving a 90% success rate in fire response with less than 100ms latency.
Ready to leverage AI for your business? Contact me to discuss how we can integrate cutting-edge machine learning and computer vision solutions into your projects.
