Prometheus, Grafana, Sql, Numpy, Pandas, MLops, Agile, Microsoft Azure, Databricks, Scrum, Azure Machine Learning, Python, CrewAI, Generative AI, Scikit-learn, RAG AI agents, Kanban, LlamaIndex

.NET, Google Cloud Platform (GCP), C#, Machine Learning, Nodejs, Deep Learning, React, Docker, Flutter, Python, LLMs, Vector databases, REST API design and integration, Agent orchestration, AKS, Agentic AI workflows, LLM orchestration frameworks, RAG, MCP, Prompt Engineering

production deployment , Logging, Tensorflow, Pytorch, Python, Apis, Git, Spark, Containers, Kubernetes, vector search, RAG embeddings, human-in-the-loop review, scikit-learn, Privacy, MLflow, Security, explainability, LLMs, LLM Agent frameworks, cloud AI ML services, Monitoring, MLOps pipelines, prompt engineering, Agentic AI, CI/CD, feature engineering, audit controls, Governance

parameter estimation , Algorithms, Distributed Computing, Rust, Git, Predictive Modeling, data structures, Python, Cloud Computing, Bayesian optimization, anomaly detection, surrogate modeling, WaferPro, object-oriented software development, software engineering principles, scalable ML infrastructure, IC-CAP, CI CD pipelines, AI ML technologies, SPICE modeling, MBP, MQA

BigQuery, Pyspark, Sql, Tensorflow, Pandas, Gcp, Pytorch, Matplotlib, Azure, Python, AWS, scikit-learn, AgentEval, Code Roo, Claude, Code Cursor, Gemini CLI, AutoGen, LangGraph, Cline, Google ADK, Windsurf

MLops, AI ML, data pipelines, streaming systems, event-driven architecture, CI CD, observability