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somesh-ghaturle/README.md
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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.

How I Build

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

Bronze

Ingest

Silver

Refine

Gold

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.
Agentic Systems Data Platforms Delivery Mindset

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.

Snake eating my GitHub contribution graph
Updates daily Powered by GitHub Actions

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

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

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.

GitHub Streak
Contribution activity over the past year

Tech Stack

Languages

Python SQL PySpark JavaScript Shell

AI and Machine Learning

LangChain PyTorch scikit-learn MLflow Hugging Face

Data Engineering and Streaming

Apache Spark Kafka Airflow dbt Delta Lake

Cloud and Analytics

Azure Databricks AWS BigQuery Power BI Tableau

DevOps and MLOps

Docker Kubernetes GitHub Actions Terraform

Methodologies

Agile MLOps DataOps

Current Focus

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

Contact

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

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