Python, Sql, Tensorflow, MLops, AWS, Pytorch, Kubernetes, Azure, Gcp, Docker, Spark, API and Microservices Architecture, AI Evaluation Frameworks, Observability and Monitoring, Feature Stores, Scikit-learn, Agentic AI Systems, Reinforcement Learning concepts, Vector Databases, Experiment Tracking, Model Deployment

Tensorflow, Deep Learning, Java, Machine Learning, Pytorch, Keras, automation, Python, Data Analysis, R

Machine Learning, LangChain, Generative AI, AI Application Architecture, LLMOps, Python Software Engineering, Model Evaluation, LangGraph, Agentic AI, LLM Applications, RAG, LlamaIndex, Observability, Production AI ML Systems

Java, Tensorflow, Pytorch, Python, Machine Learning, scikit-learn, R, Cloud Platforms, AI Systems

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

Machine Learning, Data Modeling, Tensorflow, Data Science, Pytorch, Gcp, MLops, Azure, Python, AWS, Feature Engineering, Geospatial Data Processing

containerization , Java, Gcp, Docker, Distributed Systems, Azure, Kubernetes, Python, AWS, cloud platforms, CI CD practices, AI ML architectures

Python, Machine Learning, Artificial Intelligence, REST, cloud, Tensorflow, gRPC services, MLOps tools, data pipelines

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

data engineering , Machine Learning, Hadoop, Pyspark, Spark, Python, Sql, Big Data processing frameworks