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Data Scientist and AI Engineer focused on multi-agent systems, scalable data engineering, and production ML. I build systems that are useful, traceable, and ready for real workloads.

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How I Build

_{How I think about a data platform — raw landing zone to decision-ready product.}

Ingest	Refine	Activate
Streaming and batch ingestion across Kafka, Spark, and cloud storage — landing raw, messy data reliably.	Cleaning, conforming, and modelling with dbt and Delta Lake, with quality checks and observability built in.	Decision-ready output: RAG systems, multi-agent workflows, dashboards, and deployed models.

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Contribution Snake

🐍 A snake eating its way through my GitHub contribution graph — every square it swallows is a day I shipped code. Regenerated every day at midnight by GitHub Actions, and it adapts to your light/dark theme.

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About Me

Building intelligent AI agents with LangChain, CrewAI, and custom orchestration layers Designing scalable pipelines across AWS, Spark, Databricks, and Azure Data Platform services Working on advanced RAG, retrieval systems, and multi-agent workflows Turning messy data into decision-ready products, dashboards, and automation Interested in MLOps, CI/CD, model deployment, and observability Open to freelance work, collaborations, and challenging applied AI/data projects

Core focus AI agents RAG systems Data pipelines MLOps Cloud analytics

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Featured Projects

Project	What it shows
1-Trillion-AI-Problem	Applied AI problem framing and prototype delivery
Autonomous-Multi-Agent-Research-Action-System	Multi-agent orchestration and research workflows
RAG-Ready-Web-Corpus-Builder-using-OpenClaw	Retrieval-ready corpus generation pipeline
Agentic-Early-Warning-Intelligence-System-for-Silent-System-Failures	Agentic monitoring and early-warning detection

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GitHub Activity

📈 Streak and contribution curve for the past year. The curve is rendered by my own workflow straight from the GitHub GraphQL API — no third-party service to go dark on me — and follows your light/dark theme.

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Tech Stack

Languages

AI and Machine Learning

Data Engineering and Streaming

Cloud and Analytics

DevOps and MLOps

Methodologies

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Current Focus

• Advanced RAG evaluation and retrieval quality
• Multi-agent orchestration patterns
• Production-grade data pipelines and monitoring
• Model deployment, automation, and reliability

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Contact

If you want to talk about AI systems, data engineering, or freelance work, reach out here:

• LinkedIn: https://www.linkedin.com/in/somesh-ghaturle/
• Email: someshghaturle@gmail.com
• GitHub: https://github.com/somesh-ghaturle