probability , Matplotlib, Data Modeling, Power Bi, Tableau, Sql, Nosql, Tensorflow, Numpy, Gcp, Pytorch, MLops, Pandas, Docker, Seaborn, Azure, Kubernetes, Python, Computer Vision, AWS, Scikit-learn, Statistics

Databases, Java, Apis, Kafka, Hana, Distributed Systems, Postgres, Python, Go, GRPC, CI CD pipelines, AI ML frameworks

Git, Pytorch, Linux, Python, Cuda, NVIDIA, AMD, Intel

Python programming for ML and automation, MLOps practices and ML lifecycle management, Kubernetes for orchestration, Docker for containerization

data engineering , Machine Learning, Sql, Deep Learning, Tensorflow, MLops, Pytorch, Data Analytics, Python, Computer Vision, GenAI, CNNs, Transformer-based architectures

Machine Learning, Deep Learning, Python, distributed AI systems, AI engineering, autonomous AI systems, ML system architecture, platform engineering, agent frameworks, AI system architecture, large language models, cloud-native architectures, RAG pipelines

Machine Learning, Cloudformation, Tensorflow, Numpy, Pandas, Pytorch, Terraform, Docker, Kubernetes, Python, AWS, Airflow, scikit-learn, MLflow, SageMaker, DVC

Python, Evaluation Methodology, Data Pipelines

Rust, Machine Learning, Sql, Gcp, MLops, Azure, Python, AWS, LLMs, Go, Gen AI, SageMaker, Agentic AI, Kubeflow