containerization , Github, Unit Testing, Tensorflow, Numpy, Docker, Python, Scipy, Pandas, Kubernetes, Computer Vision, CI CD Pipelines, Multi-repo or Monorepo ML Architecture, scikit-learn, Cluster Creation, DevSecOps Automation, Model Deployment, ML Model Design Deployment, Edge AI Deployments, Open-source ML Tooling Contributions, Edge Deployment, Databricks Workflows, Real-time Analytics, Azure Cloud Architecture for ML, Edge Vision Deployments, ACR, Repo Management, Portainer

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

Machine Learning, Sql, Tensorflow, Pytorch, Gcp, MLops, Azure, Python, AWS, Generative AI, scikit-learn, LLMOps, SageMaker, Agentic AI, Kubeflow

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

Pytorch, Agile, Kubernetes, Scrum

AWS, Databricks, Aws Lambda, Api Gateway, Kubernetes, Python, Docker, Terraform, Amazon EKS, MLflow, Amazon ECS, Amazon SageMaker, Application Load Balancers, CI CD pipelines

Machine Learning, data mining, Deep Learning, Tensorflow, MLops, Gcp, Pytorch, Databricks, Azure, Python, AWS, scikit-learn, data processing transformation tools, cloud environments, Optimization, big data infrastructures, CI CD for ML monitoring

S3, Machine Learning, Pytorch, Docker, Sqlite, XGBoost, Postgres, Python, AWS, Matplotlib, Sql, Jenkins, Pandas, Information Retrieval, ML Pipelines, HuggingFace, LabelBox, OpenSearch, MosaicML, LightGBM, Amazon EKS, Scikit-learn, DVC, Transformers, NVIDIA NeMo, Jupyter

Machine Learning, Python, GPU-backed services

Azure ML, Docker, Pyspark, Sonarqube, Databricks, GitHub Actions