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

Python, Tensorflow, Pytorch, Docker, Kubernetes, Cloud Platforms

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

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

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