I work at the intersection of Data Science, Generative AI, Cloud ML, and Data Engineering — building practical AI systems that move from idea to real-world impact.
- 🧠 Building with LLMs, RAG, Agentic AI, multi-agent frameworks, and LLMOps
- ☁️ Hands-on across Azure, AWS, Snowflake, Databricks, and open-source AI ecosystems
- 🔁 Experienced in MLOps, model deployment, ML lifecycle management, and scalable data pipelines
- 🕸️ Interested in Graph databases, connected data, and using graph thinking to solve business problems
- 📚 Certified across Azure Data Science, AWS Machine Learning Engineering, Snowflake, and SAS Programming
- ✨ Always learning, experimenting, and turning complex data into simple decisions
| Area | What I Build |
|---|---|
| 🧠 Generative AI | RAG apps, agentic workflows, prompt engineering, LLM-powered automation |
| 🔁 MLOps | ML lifecycle, experiment tracking, deployment, model serving, monitoring-ready workflows |
| ☁️ Cloud AI | Azure ML, Azure OpenAI, AWS SageMaker, AWS Bedrock, scalable AI services |
| 📊 Data Science | ML models, analytics, visualization, insight generation, decision support |
| 🕸️ Graph + Connected Data | Graph thinking, relationship modelling, business context from connected data |

