Veera V S B N.

About Veera V S B N.

Distinguished Knowledge and Data Engineer with 12+ years pioneering enterprise knowledge graphs, AI agent integration, and cloud-native architectures at AWS. Currently serving as Organizational Principal Technical Lead and Technical Advisor to Director of Region Services Product Management (130+ headcount organization). Key Achievements:• US Patent holder (11,991,254 B1) for ontology-based dependency modeling• Created AWS Knowledge Map preventing $50M+ in annual operational losses• Developed breakthrough Model Context Protocol (MCP) tools for AI agents• Senior Member with multiple peer-reviewed publications• Titan Innovation Award (Platinum) winner for AI innovation Impact at Scale:My work has prevented risky deployments annually, saved engineering hours per year, and transformed how AWS scales services globally. I architect systems that bridge the gap between human expertise and AI capabilities, ensuring trustworthy, hallucination-free AI agent integration with enterprise knowledge. Research & Thought Leadership:Active contributor to academic community through peer-reviewed publications in journals, conference peer reviewer for 6+ international conferences, and featured expert in technology media. Published on Amazon Science and AWS official blog. Specializations:Knowledge Graphs • Semantic Web (RDF, OWL, SPARQL, JSON-LD) • AI Agent Integration • Model Context Protocol • Large Language Models • Generative AI • Cloud Architecture • Enterprise Data Engineering Connect: Always interested in discussing knowledge engineering, AI systems, and semantic web technologies.

Experience

1. Senior Data Engineer Principal Technical Lead

   Amazon Web Services (AWS)

   Feb 2024 — Present · Arlington, VA, US

   Key Innovations: AWS Knowledge Map V2 -\"Facts of Facts\" Framework (2025)• Architected revolutionary knowledge graph system enabling human feedback integration and data trustworthiness validation• Implemented JSON-LD API standards for semantic web-compliant AI agent interfaces• Framework endorsed by 3 Principal Engineers and 1 Senior Principal Engineer• Supports 50+ modeled classes impacting operational decisions across all AWS regions🤖 Model Context Protocol (MCP) Tools for AI Agents (2025)• Led development of breakthrough MCP tools eliminating AI hallucinations through structured knowledge access• Integrated AWS Knowledge Map APIs into public-facing AWS Knowledge MCP Server (managed by Amazon Q Business team)• Demonstrated multi-region expansion planning capabilities to AWS leaders and external customers• Open-source contribution enabling global developer community to build accurate AI applications Automated Pipeline Sequencing API (Q1 2026)• Designed groundbreaking API automating AWS regional expansion through intelligent pipeline deployment sequencing• Achieved 87% dependency detection accuracy across 94 complex pipelines• Eliminated manual TPM effort and deployment risks at global scale• Transformed how AWS scales services to new regions worldwide Organizational Leadership:• Set data and knowledge engineering standards across AWS organization• Lead cross-organizational design reviews aligning multiple teams toward coherent strategies• Active in hiring, recruitment, and engineering community development

Education

• University of New Mexico School of Engineering

  Master of Science - MS, Computer Science

  2013 — 2015

• GITAM Deemed University

  Bachelor of Technology - BTech, Information Technology

  2008 — 2012