Data Science, Python, Cloud computing platforms, R, Machine learning frameworks and libraries, Deep learning architectures

object detection , Numpy, Computer Vision, Pandas, Image Processing, Python, Scikit-learn, Image classification

Tensorflow, Performance Tuning, Opencv, Rest Apis, Deep Learning, Ocr, Pytorch, Machine Learning Algorithms, Google Cloud, AWS, Python, Azure, Docker, Generative AI, LLMs, feature engineering, data preprocessing, Tracking, parallelization, multimodal models, RAG, YOLO, Segmentation, ML Ops, GPU optimization, TensorRT, ONNX, distributed low-latency data pipelines, RTSP streaming video pipelines, Classification, detection, multi-object detection

Pyspark, Kubernetes, Docker, Python Programming, ML algorithms and statistics, Deploying ML models into production, AWS or GCP cloud

Python Programming, Keras, Tensorflow, Devops, Nltk, Pytorch, Kubernetes, Docker, test automation, Strong statistical quantitative skills, Linux systems, Cloud experience – AWS Azure GCP, AI ML Supervised Unsupervised GenAI LLMs NLP, Data integration across logs APIs files and databases, CI CD, Database experience – Postgres Redshift MSSQL, End-to-end data pipelines, API design for real-time scalable applications, spaCy