Java, Docker, Kubernetes, Python, TFX, AWS SageMaker, Kubeflow, Google Vertex AI, Go, MLflow, Metaflow

data engineering , model selection , Numpy, Pandas, Pytorch, Python, scikit-learn, ELT data pipelines, ML research methodologies, Production ML systems, ML pipelines, Hypothesis formulation and testing, Cross-validation, Performance benchmarking, Reproducible research

Docker, Pyspark, Pytest, Azure Databricks, Azure Cloud Services, Python, Sql, MLflow

Machine Learning, Gcp, Pytorch, Apache Spark, Big Data, Azure, Python, Sql, AWS, Deep Learning, Speech NLP, Generative AI

bedrock , Pytorch, S3, Lambda, Python, ECS, EKS, fine-tuning LLMs, GraphRAG architectures, agent-based systems, Go, memory architectures, model deployment, deep learning models, vector databases, AWS SageMaker, Weaviate, Monitoring, Pinecone, RAG architectures, ML operations, Qdrant

Machine Learning, Jax, Deep Learning, Tensorflow, Pytorch, Gcp, Docker, Azure, Kubernetes, Python, Computer Vision, AWS, GANs, Generative AI, Image processing techniques, CNNs, Inpainting methods, VAEs, Image-to-image generation, Diffusion models

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

Tensorflow, Machine Learning, Pytorch, Opencv, Ocr, Python, Computer Vision, Deep Learning, GenAI, LLMs, PIL

Git, Docker, Machine Learning Algorithms, Sql, Python, Feature engineering, Model evaluation