5+ experience in building deep learning model architectures in production using edge & cloud AI platforms. also having hands-on experience in Python, TensorFlow, pytorch and Cloud services. Assists in development/configuration and maintenance of AI/ML and data solutions, Works on complex analytical, programming, and data preparation tasks, Design production-grade ML workflow pipelines for End-to-End ML solutions Working Technologies: - Python, C++, MATLAB. - Practical Statistics for Data Scientists: Exploratory data analysis, Data distribution, Statistical experiment, Significance testing. - Computer Vision dataset collection and preparation, Training Pipeline, CNN Model Deployment. - Data preprocessing: Data quality assessment, Feature aggregation, Feature sampling, Dimensionality reduction, Feature encoding; - Keras & TensorFlow, PyTorch, JAX, Julia; - NumPy, Pandas, Matplotlib, Scikit-learn, Seaborn, OpenCV, WandB; - Real-time object detection and classification: SSD, EfficientDet, YOLOv8, etc. - Real-time license plate recognition: LPRNet; - Object segmentation: Unet, MaskRCNN;