Python API Development, AgentOps Implementation, CI CD Infrastructure as Code, AI Safety Governance Compliance, LLM Gateway Execution Runtime, GenAIOps MLOps Frameworks, Agentic Architecture Implementation, GCP AI ML Platform Proficiency, Generative AI RAG Engineering

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

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

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

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