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

Distributed Systems, Python, Model performance monitoring, Continuous delivery of ML solutions, MLOps tools

Machine Learning, Scala, Big Data, Redshift, Tensorflow, Jenkins, Pytorch, Kinesis, Spark, MongoDB, Keras, Python, Airflow, SparkML, Druid

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

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

Databricks, Java, Microservices, Golang, Machine Learning, AWS, Python, Scala, Spark, Statistics, GenAI, MLFlow, LangChain, distributed data processing frameworks, LangGraph

Java, Machine Learning, Data Modeling, Reactjs, Python, Aws, Docker, Kubernetes

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

C C++, Research, Python