Deep Learning, AWS, Pytorch, Python, Kubernetes, Azure, Gcp, Nlp, Spark, Video, Llm, feature engineering, Vision, fine-tuning, cloud platforms, embeddings, training pipelines, Production Monitoring, RAG, inference, end-to-end ML systems, VLM, distributed data processing, generative AI

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

Automation Scripting, Security Compliance, Logging, Infrastructure Management, MLops, Docker, Automation Frameworks, Python, Kubernetes, DevOps methodologies, Infrastructure as Code, tracing, LLMOps, multimodal AI workflows, Ai, Agentic AI applications, CI CD, Monitoring, alerting, Continuous Training, Machine Learning lifecycle management, Large Language Models, observability