I will do deep learning, machine learning, computer vision, python projects

I am a specialized Machine Learning Engineer focused on high-performance Real-Time Computer Vision and Power Sports Analytics. I build low-latency pipelines that transform raw video into tactical intelligence using state-of-the-art detection, tracking, and behavioral analysis.

Core Expertise: Vision & Motion Intelligence

• Sports Analytics: Expertise in action recognition, athlete biomechanics, and play-by-play breakdown using spatio-temporal models.
• Real-Time Tracking: Proficient in YOLO (v8-v11/World), DeepSORT, and ByteTrack for high-velocity object monitoring.
• Foundation Models: Utilizing SAM (Segment Anything), CLIP, and Florence-2 for zero-shot classification and precise visual segmentation.
• Generative & Multimodal AI: Fine-tuning LLaVA, Stable Diffusion, and Llama 3.2 for synthetic data generation and visual reasoning.

Technical Stack & MLOps

• Frameworks: PyTorch, TensorFlow, OpenCV, FastAPI.
• Workflow: Full MLOps lifecycle with DVC, MLflow, Docker, and GitHub CI/CD.
• Cloud: Deployment on AWS SageMaker, Azure, and RunPod for serverless GPU scaling.

Would you like me to refine a specific case study for a real time camera application?