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

Java, Machine Learning, Scala, Kafka, Redshift, Redis, Sql, Tensorflow, Sklearn, Rabbitmq, Jenkins, Docker, Pytorch, Spark, Flask, FastAPI, MongoDB, Python, Kubernetes, Airflow, Sagemaker, Milvus, MLFlow

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

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

Microservices, Python, BigQuery, Computer Vision, Google Cloud Platform, Automated Testing, MLops, Authentication, Prompt engineering, Progressive deployment, Entity resolution, Hybrid retrieval, Cloud Run, semantic search, Vertex AI, Validation gates, Error handling, Data pipelines, Keyword search, Agentic workflows, Knowledge graph, Production APIs, Generative AI, Relationship discovery, Model versioning, Vector embeddings, CI/CD pipelines, Retrieval-augmented generation, Multi-agent orchestration

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

Pytorch, Agile, Kubernetes, Scrum

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