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Jeevanvsan/README.md
Jeevan Varghese, senior data and AI engineer. An animated workflow graph moves data from ingestion through Spark and Temporal into Cassandra, Neo4j and a group of AI agents.

I build GenAI systems that work on real company data: retrieval over vector databases, text-to-SQL that lets people ask their data questions in plain language, and the pipelines and backends underneath. Senior data and AI engineer at Experion Technologies, based in Alappuzha, Kerala. When the builds are green, I paint.

Running right now

  • GenAI applications: RAG, embeddings and vector databases for grounded answers
  • Text-to-SQL: LLMs that turn plain-language questions into correct queries
  • Multi-agent AI workflows with LangGraph
  • Distributed data pipelines, orchestration architectures and local-first AI tooling
  • Microservices, event-driven backends and multi-tenant container orchestration
  • Relational and graph data modeling, from PostgreSQL schemas to Neo4j knowledge graphs
  • Writing on the blog about Python for data engineering

Stack

Tech stack. Data and orchestration: Python, Apache Spark, Cassandra, Temporal, PostgreSQL, Neo4j. GenAI and retrieval: LLMs, RAG, vector databases, text-to-SQL, embeddings, LangGraph. Backends and ops: FastAPI, Docker, Traefik, GitHub Actions.

Shipped

sharejeeni: Python package that downloads files from SharePoint with Azure AD client credentials DViewer: data aggregation and query platform for many sources in one interface

From LinkedIn

SPARC Hackathon 2026, first place: Team NexMind won out of 20 teams, extending the ARC Forge AI SDLC framework Award of Excellence, Experion R&R 2026, for consistently exceeding expectations in Q4 2025

Activity

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Contribution graph being eaten by a snake

Connect

LinkedIn: in/jeevan-varghese-1a5237214 Blog: jeevan-varghese.blogspot.com Email: jeevanvsan@gmail.com

Animated waves of the Alappuzha backwaters

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