Mahesh Sercat Ramakumar

Senior Data & AI Engineer

Data Engineering • Data Science • Analytics • Generative AI & RAG • Data Governance & MDM

I'm a Senior Data & AI Engineer with close to 10 years of experience owning the full data value chain: from raw ingestion and lakehouse architecture, through governed analytics and master data management, to applied data science and production-grade GenAI systems.

I don't stay in one lane. I've architected Databricks lakehouses, built enterprise RAG and agentic AI pipelines, stood up data governance frameworks in Microsoft Purview, and shipped ML models that moved real business metrics. That breadth is the point: I'm the engineer who can take a problem from a raw data source to a governed, production AI system without handing it off in between.

Highlights

• ~10 years architecting enterprise data & AI platforms across data engineering, data science, analytics, governance, and MDM for Fortune 500 clients
• Two completed Master's degrees: M.S. in Data Science (Drexel University, GPA 3.9) and Executive M.S. in IT Project Management (New England College, GPA 3.95), one fully sponsored by my employer
• Working toward Databricks Champion status
• Publishing technical articles on Medium covering Unity Catalog, Delta Sharing, Medallion Architecture, and Photon Engine

Data Engineering & Lakehouse Architecture	Designing Databricks Medallion lakehouses, Delta Lake, Unity Catalog, and PySpark ETL/ELT pipelines at enterprise scale
Data Science & Machine Learning	Building and deploying predictive models (fraud detection, churn, forecasting) plus NLP and deep learning with measurable business impact
Generative AI & Agentic Systems	Architecting end-to-end RAG pipelines and agentic AI workflows using Azure OpenAI, vector search, and LLM orchestration
Analytics & Business Intelligence	Turning raw data into decision-ready reporting and dashboards across Power BI and enterprise analytics platforms
Data Governance & MDM	Implementing enterprise governance, lineage, and master data management via Microsoft Purview and Profisee
Platform Engineering & DevOps	CI/CD, deployment automation, and system monitoring/evaluation to keep production data and AI systems reliable

Data Platforms

AI / ML / GenAI

Cloud & Governance

Languages & Tools

IBM, Philadelphia, PA  |  Oct 2022 – Present Senior Consultant I, Data & AI Engineering

• Databricks Medallion lakehouse architecture for enterprise EPM platforms
• End-to-end RAG/agentic AI pipeline using Azure OpenAI + Azure AI Search
• Enterprise data governance & lineage via Microsoft Purview
• MDM architecture & ETL pipelines via Profisee

DXC Technology, Philadelphia, PA  |  Nov 2016 – Sept 2022

Sr. Professional Product Developer (Sept 2019 – Sept 2022)

• Spark pipelines processing 5TB+ of daily transactional data
• ML models for churn & fraud prediction; DataOps/MLOps practices
• NLP-based smart bot driving 11% cross-sell improvement

ML Engineer / Data Analyst (Nov 2016 – Aug 2019)

• NLP & deep learning models for text classification
• Personalized recommendation system (Python + Azure ML)
• 72 Power BI reports & analytical models across enterprise data

M.S. in Data Science	Drexel University, Philadelphia, PA	2019 – 2021 • GPA 3.9
Executive M.S. in IT Project Management	New England College, Henniker, NH	2024 – 2026 • GPA 3.95

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RAG & Agentic AI Pipeline	End-to-end document intelligence & semantic search pipeline	Azure OpenAI, Azure AI Search, Document Intelligence
Databricks Medallion Lakehouse	Bronze/Silver/Gold lakehouse with metadata-driven ingestion	Databricks, PySpark, Delta Lake, Unity Catalog
Data Governance & MDM Framework	Enterprise lineage, classification & MDM workflows	Microsoft Purview, Profisee, PyApacheAtlas
ML Fraud & Churn Models	Predictive models for fraud detection & churn prediction	Python, Scikit-learn, MLflow

Gym • Trekking • Swimming • Travelling