Roopmathi(Ruby) Gunna

Senior Data Engineer → AI Platform Engineer
Databricks Lakehouse · Azure · LLM Pipelines · Agentic RAG · Banking · Cybersecurity

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About

I’m a Senior Data Engineer with 10+ years of experience building production-grade data platforms across banking, cybersecurity, risk technology, and healthcare.

My work has focused on scalable lakehouse architectures, governed data pipelines, metadata-driven frameworks, and platform reliability. I’m now applying that same foundation to AI platform engineering by building LLM pipelines, retrieval systems, and agent-based workflows on top of strong data infrastructure.

Most AI systems fail because the data layer is broken. I build both.

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Featured Projects

CyberLens Security data lakehouse + AI analysis Ingests multi-source security telemetry into a medallion architecture and enables natural-language investigation of enterprise security posture. Stack: Databricks · Delta Lake · LangGraph · Claude API · Chroma · FastAPI · MLflow · Docker

QueryForge Text-to-SQL platform Includes prompt versioning, SQL validation, automated evaluation, and feedback loops for continuous improvement. Stack: Claude API · MLflow · RAGAS · FastAPI · PostgreSQL · GitHub Actions · Streamlit · Databricks

PipelineGuardian Pipeline monitoring + anomaly detection Detects schema drift, volume drops, and SLA breaches, then generates AI-assisted root cause analysis. Stack: LangGraph · Claude API · Delta Lake · Docker · FastAPI · MLflow · Streamlit · Databricks

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Additional Work

M&A Oracle

Enterprise RAG capstone for private equity due diligence. Built to surface contradictions across earnings calls, SEC filings, and other research sources using multi-source retrieval and agentic reasoning.

Stack: Knowledge Graph · SEC EDGAR · USPTO API · LangGraph · Agentic AI · Multimodal RAG

Agentic RAG Claude Code Knowledge Assistant

Domain-specific RAG system with adaptive retrieval and multi-step reasoning. Includes query rewriting, corrective retrieval patterns, hallucination grading, semantic caching, and evaluation with RAGAS.

Stack: LangGraph · LangChain · Chroma · OpenAI API · RAGAS · Pydantic

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Technical Focus

• Data platform architecture for analytics and AI workloads
• Pipeline reliability, observability, and governance
• Retrieval systems and agent-based application design
• LLMOps, evaluation, and production readiness

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Tech Stack

Data Platforms
Databricks · Delta Lake · PySpark · Snowflake · Azure Data Factory · ADLS Gen2

Cloud & DevOps
Azure · Docker · GitHub Actions · Azure DevOps · Azure Functions

Languages
Python · SQL · T-SQL · Spark SQL

Vector Databases
Pinecone · Qdrant · Chroma

Agent Frameworks
LangGraph · LangChain

AI Developer Tools
Claude Code · Codex · GitHub Copilot

LLMOps / Evaluation
MLflow · RAGAS

Databases
PostgreSQL · Oracle · SQL Server · Cosmos DB

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Certifications

Microsoft	Databricks	Anthropic
Azure Data Engineer Associate (DP-203) Azure Data Scientist Associate (DP-100) Fabric Analytics Engineer (DP-600) Power BI Data Analyst (PL-300) Azure AI Fundamentals (AI-900) Azure Data Fundamentals (DP-900) Azure Fundamentals (AZ-900)	Lakehouse Fundamentals Building Single-Agent Apps on Databricks GenAI App Deployment and Monitoring Building Retrieval Agents on Databricks Data Engineer Professional (in progress)	Claude Code 101 Claude Code in Action Introduction to MCP Introduction to Agent Skills Claude Code Architect Foundations (in progress) Building with the Claude API (in progress)

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Currently Deepening Knowledge on

• Databricks Mosaic AI
• Azure AI Foundry
• LLMOps and evaluation frameworks
• Agentic system design
• Enterprise RAG architecture

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Contact

• LinkedIn: linkedin.com/in/roopmathi
• Email: roopmathi.gj@gmail.com
• Location: New Jersey
• Work Authorization: Canadian citizen eligible for TN visa sponsorship pathway

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Most AI systems fail because the data layer is broken. I build both.