.NET, Servicenow, SAP, Microservices, Rpa Tools, Docker, Oracle, Python, AWS, Azure DevOps, Java, Node.js, Gcp, Azure, Kubernetes, GenAI APIs, Cloud Certification, Azure OpenAI, GitHub Actions, LangChain, Salesforce, RAG patterns, ASP.NET Core, OpenAI, workflow orchestration engines, LlamaIndex

graph databases , Data Manipulation, API design, Sql, Nosql, Typescript, Docker, Python, AWS, LangChain, vector databases, data lakes, Statistics, feature engineering, synthetic data generation

DVC), MLOps tools (MLflow, Numpy, Docker, XGBoost, Python, AWS, Sql, Git, Pandas, Gcp, FastAPI, Rest Apis, Prompt engineering, scikit-learn, Monitoring frameworks, Embeddings, LangChain, RAG workflows, Serverless platforms, LightGBM, Similarity search, LlamaIndex, AgenticAI

Apis, Automated Testing, Python, data workflows, tool calling, CI CD, structured outputs, LLM applications, secure cloud deployment, RAG, AI evaluation, agent orchestration

Nosql, Java, Restful Apis, Kubernetes, Python, Sql, AI productivity tools, Go, AI ML technologies

Docker, Python, Google Cloud, DevSecOps, Gcp, Kubernetes, Enterprise AI architecture and deployment, Prompt Injection Defense, CI CD, LangGraph, Multi-Agent Systems, Structured Outputs, EU AI Act, Hallucination Mitigation, LLM Orchestration, DORA, Generative AI, AI Safety, MCP Model Context Protocol, Agentic AI, Claude LLMs, Agentic RAG, Responsible AI, Prompt Engineering

data engineering , production deployment , Databases, Apis, cloud, Python, data pipelines, LLMs, AI-native architecture, context engineering, Agents, AI approaches, agentic workflows, workflow automation, full-stack development, RAG, guardrails, evals, observability

Gstreamer, Rtos, Git, Linux, Opencv, Cmake, Python, QT QML, AI ML models

Gcp, Azure, Python, AWS, A2A, Langgraph, Pydantic, Agents development, FAST APIs