## AI Engineer | AI Architect | Data & Agentic AI Expert I’m an **Senior AI/ML Engineer and Architect with 10+ years of experience** building scalable, enterprise-grade data and AI solutions across cloud platforms. Over the years, I’ve worked on **large-scale data platforms, AI/ML systems, data engineering, and intelligent automation** for global organizations across industries including **supply chain, pharma, and healthcare**. I’ve worked with leading firms such as **Fractal Analytics, ZS Associates, and Accenture**, delivering solutions that turn complex data into actionable business outcomes. My current focus is on **Generative AI and Agentic AI**, where I design and build production-ready systems using **LLMs, LangChain, LangGraph, RAG, MCP, and intelligent agent orchestration**. I’m particularly interested in applying AI to real-world enterprise problems rather than building simple demos or proof-of-concepts. ### What I Can Help You With * **AI/ML & GenAI Architecture** – Designing scalable AI systems from prototype to production * **Agentic AI** – Building autonomous and multi-agent workflows using LangGraph and LangChain * **LLM Applications** – RAG, tool calling, memory, orchestration, evaluation, and production deployment * **MCP & AI Integrations** – Designing MCP servers, tools, authentication, and enterprise integrations * **Data Engineering & Architecture** – Building scalable data platforms and reliable ETL/ELT pipelines * **Azure & Cloud Architecture** – Databricks, ADLS Gen2, Azure Data Factory, Synapse, Azure ML, and cloud-native architectures * **Python, SQL & PySpark** – Production-grade engineering, data processing, APIs, and distributed systems * **AI/ML Interviews & Career Guidance** – System design, AI architecture, GenAI/LLM interviews, project discussions, and career preparation * **Hands-on Project Guidance** – Help turning an AI idea into a working, production-ready solution ### Technical Expertise **Generative AI & Agentic AI:** LLMs, RAG, LangChain, LangGraph, MCP, Agent Orchestration, Tool Calling, Memory, AI Agents, Prompt Engineering, LLM Evaluation **Cloud & DevOps:** Microsoft Azure, Azure Data Factory, Azure Databricks, ADLS Gen2, Azure Synapse, Azure Functions, Azure ML, Docker, Kubernetes, GitHub Actions, CI/CD **Machine Learning & MLOps:** Supervised & Unsupervised Learning, MLflow, Model Training, Model Deployment, MLOps **Databases:** PostgreSQL, MySQL, SQL Server **BI & Analytics:** Qlik Sense, QlikView, NPrinting, Analytical Dashboards ### Certifications Microsoft Azure certified across **Data Engineering, Data Science, AI, and Azure fundamentals**, including DP-100, DP-200, DP-201, DP-900, AI-900, and AZ-900. ### My Approach I focus on **practical, production-oriented solutions** — not just theory. Whether you're preparing for an AI interview, transitioning into GenAI, designing an agentic AI architecture, building a RAG application, or trying to solve a complex data engineering problem, I aim to provide **clear architectural guidance, hands-on examples, and actionable next steps**.