Bi Tools, Data Analytics, Deep Learning, Tensorflow, Pytorch, MLops, Gcp, Docker, Excel, Azure, Python, Kubernetes, AWS, Generative AI, ML algorithms, NLP frameworks, MLflow, Scikit-Learn, Statistical Modeling, Kubeflow, Data ML pipelines

Natural Language Processing, Deep Learning, Python, Scala, Machine Learning, Search Technologies, Retrieval Augmented Generation, Large Language Models, reinforcement learning, Go, Embeddings

AWS, Aws Lambda, Security Controls, Jenkins, Docker, Terraform, AWS CloudFormation, Databricks, Kubernetes, Python, Azure DevOps, Api Gateway, Amazon ECS, Infrastructure as Code, Amazon EKS, MLflow, Application Load Balancers, Amazon SageMaker, GitHub Actions, CI CD pipelines, GitLab CI CD

Machine Learning, Computer Vision, Deep Learning, Multimodal Learning, Generative Modeling, Representation Learning, Statistical Modeling, reinforcement learning, Large Language Models

Tensorflow, Pytorch, Docker, Python, AWS, Sql, Gcp, MLops, Spark, Azure, Kubernetes, Anthropic Claude, Multi-agent frameworks, Azure OpenAI, Agentic AI systems, Mistral, RAG architectures, LLMs, Prompt engineering strategies, Scikit-learn, model deployment, Fine-tuning pipelines, Agentic AI, Llama, RAG, OpenAI, Gemini

Tensorflow, Machine Learning, Pytorch, MLops, Natural Language Processing, Python, Sql, Deep Learning, Vector Databases, Generative AI, Retrieval-Augmented Generation

containerization , Github, Unit Testing, Tensorflow, Numpy, Docker, Python, Scipy, Pandas, Kubernetes, Workflows, Databricks, CI CD Pipelines, scikit-learn, Cluster Creation, Edge Deployment, Azure Cloud Architecture for ML, ACR, Repo Management, Portainer, ML Model Design, Deployment

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

Machine Learning, Python, GPU-backed services