Tensorflow, Pytorch, Gcp, Azure, Python, AWS, Generative AI, Prompt engineering, Model monitoring, LLMs, scikit-learn, Drift detection, versioning, ML ecosystems, Experiment tracking, Fine-tuning adaptation techniques

, Deep Learning, AWS CloudFormation, Tensorflow, Unsupervised Learning, Amazon CloudWatch, MLops, AWS, Pytorch, LLMs, scikit-learn, Prompt Engineering, Applied Machine Learning, supervised learning, Amazon Bedrock, Amazon SageMaker, RAG, Generative AI, ML algorithms, model observability, AWS Step Functions

Tensorflow, Pytorch, Gcp, Azure, Python, Kubernetes, AWS, MLOps tools, Scikit-learn

S3, Sql, Lambda, Pytorch, Docker, Kubernetes, Python, AWS, OR-Tools, reinforcement learning, SageMaker, CVXPY, Gurobi

Tensorflow, Gcp, Pytorch, Azure, Python, AWS, Generative AI, Prompt engineering, Model monitoring, LLMs, scikit-learn, Drift detection, versioning, ML ecosystems, Experiment tracking, Fine-tuning adaptation techniques

Tensorflow, Gcp, Pytorch, Azure, Python, AWS, Generative AI, Prompt engineering, Model monitoring, LLMs, scikit-learn, Drift detection, versioning, ML ecosystems, Experiment tracking, Fine-tuning adaptation techniques

Deep Learning, Video Codecs, Pytorch, Cuda, Python, Computer Vision, Git, model evaluation frameworks, video processing pipelines, MLOps tools, inference optimization, streaming technologies, MLflow, attention mechanisms, PEFT, continuous experimentation infrastructure, GPU-based training, CNNs, LoRA, Weights Biases, model fine-tuning, Transformers

triton , Pytorch, FastAPI, Kubernetes, Python, Docker, Restful Apis, Sagemaker, ML technologies, document databases, TensorRT

Tensorflow, Machine Learning, Pytorch, Linux, Python, Pytest, Deep Learning, Transformers