AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Senior Principal AI & Context Architect | Databricks | Neo4j Certified | GraphRAG | Enterprise Knowledge Graphs | Agentic AI | Context & Knowledge Graph Design with Ontology| Graph Data Modelling RAG LLMs |
Building context-aware enterprise AI systems using Databricks, Knowledge Graphs, Neo4j, and GraphRAG. Senior Principal Architect with 20+ years of experience architecting enterprise AI, data, and cloud platforms that transform fragmented enterprise data into context-aware business intelligence. I specialize in building AI systems with business context using Knowledge Graphs, GraphRAG, semantic architecture, and modern lake house platforms across Banking, Airlines, Pharma, Retail, and Telecom domains. My expertise spans enterprise context engineering, Databricks lake house modernization, Neo4j graph platforms, AI/ML ecosystems, and cloud-native data architectures that enable organizations to move beyond traditional analytics toward operationally intelligent AI systems. My focus areas include: • Context-Aware AI & GraphRAG Architecture • Knowledge Graphs & Semantic Enterprise Modeling (Neo4j) • Enterprise AI Platform Architecture (Databricks, Azure, Snowflake, Cloudera) • Enterprise Data Modeling & Semantic Context Design (EDM, FSLDM, Erwin) • AI/ML, Vector Search & Intelligent Retrieval Systems • Data Governance, Metadata Intelligence & Compliance (Unity Catalog, Collibra, GDPR, HIPAA) • Agentic AI, Enterprise Context Layers & Operational Intelligence I’m passionate about helping enterprises build AI systems that understand business relationships, operational context, and semantic meaning — not just data. My work focuses on bridging structured data, unstructured knowledge, metadata, and graph intelligence to enable explainable, context-aware enterprise AI and next-generation decision systems.
Indira Gandhi National Open University
Master of Business Administration (MBA), Operation Research
January 1, 1999 – January 1, 2001
Ayya Nadar Janakiammal College, Sivakasi
Bachelor of Science (B.Sc.), Mathematics
January 1, 1989 – January 1, 1992
Neurealm
Senior Principal Architect
May 1, 2024 – Present
Chennai, Tamil Nadu, India · On-site
Maveric Systems Limited
Associate Vice President
July 1, 2023 – May 1, 2024
Chennai, Tamil Nadu, India · On-site
HCL Technologies
Senior Solutions Architect
March 1, 2020 – July 1, 2023
Chennai, Tamil Nadu, India
Photon
Machine Learning SME / Azure Architect
March 1, 2015 – March 1, 2020
Chicago & Chennai
Virtusa
Technical Architect
July 1, 2014 – March 1, 2015
Singapore
Capgemini
BIDW Architect
December 1, 2011 – May 1, 2014
Chennai Area, India
DXC Technology
Technical Project Manager
July 1, 2009 – December 1, 2011
Chennai Area, India
Tata Consultancy Services
EDW Architect
June 1, 2006 – July 1, 2009
Singapore , Chicago USA
Keane
CRM Consultant
August 1, 2003 – May 1, 2006
Denver, USA & Hyderabad , Noida
Bigdata - Measuring & Predicting human Behavior
University of Warwick
June 24, 2026 – Present
Brain Health
Allegra Learning Solutions LLC
June 24, 2026 – Present
Advanced Machine Learning
The Open University
June 24, 2026 – Present
AWS Innovate
Amazon Web Services (AWS)
June 24, 2026 – Present
Celonis Data Engineer
Celonis
June 24, 2026 – Present
Good Brain, Bad Brain - Basics
University if Birmingham
June 24, 2026 – Present
Graph Data Modeling Fundamentals
Neo4j
June 24, 2026 – Present
Machine Learning (Stanford University)
Stanford University
June 24, 2026 – Present
Google Data Studio
June 24, 2026 – Present
Neo4j Certified Professional
Neo4j
June 24, 2026 – Present
Machine Learning Algorithms Mind-Mpas and Min-Course
Machine Learning Mastery
June 24, 2026 – Present
Begin Robotics
University of Reading
June 24, 2026 – Present
Google Analytics for Beginner
June 24, 2026 – Present
Review and Interpret Analyses
Celonis
June 24, 2026 – Present
Celonis- Monitor KPIs in Analysis Dashboards
Celonis
June 24, 2026 – Present
Anti-Money Laundering Principles
Alison
June 24, 2026 – Present
DataRobot Fundamentals
DataRobot
June 24, 2026 – Present
Cultural Fit Analysis
The candidate's diverse project experience across multiple companies and industries (airline, banking, retail) indicates adaptability and a broad perspective, which generally contributes to a good cultural fit in dynamic environments. Their involvement in training, mentorship, and contributing to practice teams suggests a collaborative and growth-oriented mindset. The long tenure in various senior roles also points to stability and commitment. The target role of 'Big Data Engineer' aligns well with their deep technical and architectural background in big data and analytics.
Soft Skills & Operational Fit
The candidate's extensive experience in leadership roles (Senior Principal Architect, Associate Vice President, Senior Solutions Architect) suggests strong soft skills in technical leadership, mentoring, strategic alignment, and stakeholder management. Their involvement in Architecture Review Boards and training initiatives indicates a focus on operational excellence and knowledge sharing. The descriptions imply a structured approach to problem-solving and project delivery, often within Agile/Scrum methodologies.