Agentic Self-Correction
Reframing model reasoning traces as first-class, verifiable computational artifacts rather than post-hoc rationalizations — “The Dynamic Reasoning Trace.”
Recognition & distinction
A structured record of recognition from professional engineering bodies, global analyst indices, employers, and the peer-review community — alongside quantified enterprise impact and original research in agentic AI.
01Global acclaim
Artificial Intelligence 150 (AI150) — 2025–2026 · Constellation Research Inc.
Artificial Intelligence 150 (AI150) — 2026–2027 · Constellation Research Inc.
BoxWorks Customer Award — Ecosystem Innovator (2025)
Best Performing Project Award — L&T Infotech (2014)
Valuable Contribution Award — L&T Infotech
R&D Innovation Award — HCL Technologies (2011)
Top 100 ADPList Mentor (2024)
Top 100 AI Reviewer (IEEE)
Top 100 AI Reviewer (ACM)
Senior grades conferred only on members with demonstrated outstanding achievement, adjudged by expert peer panels.
02Impact at scale
As Sr. Staff Applied AI Engineer for Enterprise Applied AI at Rivian, translating research and architecture into measurable enterprise outcomes.
17+
Years of global experience
69
Google Scholar citations
70
ResearchGate citations
19
Indexed research works
6,246
ResearchGate article reads
100+
Peer reviews (verified reviewer)
30+
Technical certifications (AI, cloud, architecture)
4
Continents delivered (Asia, N. America, Europe, Australia)
$125M+
Annual operational savings — Goodyear and Rivian digital workplace transformation
50+
Agentic AI systems architected
20+
Design Thinking sessions facilitated
1,000+
Applications on Microsoft + Google Cloud
5M
Associates served globally
3M
Users on platforms architected
03Pioneering research
Reframing model reasoning traces as first-class, verifiable computational artifacts rather than post-hoc rationalizations — “The Dynamic Reasoning Trace.”
Closing the LLM faithfulness gap by shifting from free-text generation to modular, executable program synthesis (World Journal of AI & Robotics Research).
TurboVec — codebook-oblivious quantization for enterprise RAG: higher recall and far lower latency than trained baselines, with membership-inference risk reduced to near-random (arXiv, 2026).
Security and governance frameworks for quantized edge LLMs in 6G IoT, and a next-generation predictive-maintenance framework for software-defined vehicles (IEEE, 2026).