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AI Transformational Leader | 150+ patents inventor | 35+ Granted Patents | Top 25 Visionaries in AI by IST | PhD, AI/GenAI, ML/DL, NLP, CV, Robotics, Soft Computation, Cognitive Computing
🔹 About I am a Global AI & Generative AI Leader with a Ph.D. in Artificial Intelligence and over 26 years of experience translating deep research into enterprise-scale innovation. At L&T Technology Services, I lead AI strategy, platform development, and IP creation across, reasoning, multimodal, cognitive, and generative systems—driving measurable transformation across industries. 🔬 Inventor | Strategist | Ecosystem Builder - 150+ patents filed out of that 35+ are granted across AI, GenAI, cognitive computing, computer vision, NLP, and multimodal architectures - 50+ publications in journals, conferences, and industrial whitepapers - 2× recipient of the Larsen & Toubro Award for Technology Excellence (2021, 2022) 🧠 AGI Roadmap Architect I bring a clear, actionable vision for Artificial General Intelligence (AGI)—grounded in technical depth, ethical foresight, and enterprise readiness. My frameworks integrate agentic reasoning, multimodal cognition, and governance-by-design to move from narrow AI to adaptive, human-aligned intelligence. I continuously align AGI strategy with market dynamics, regulatory shifts, and global innovation trends. 💡 Core Strengths - Architecting and scaling AI/GenAI platforms from concept to production - Leading global innovation programs and cross-functional AI teams - Synthesizing DL, CV, NLP, and multimodal AI for real-world impact - Shaping IP portfolios and mentoring next-gen AI talent - Translating complex AI strategy into boardroom-ready narratives 🌍 Mission To solve the world’s most complex engineering and societal challenges through responsible, high-impact AI, while shaping the future of AGI and intelligent systems that align with human values. 🤝 Ecosystem Engagement I actively collaborate with global leaders, innovators, and institutions advancing the frontiers of AI. Whether it’s
Netaji Subhas Institute of Technology
Doctor of Philosophy - PhD, AI,SoftComputation, Neural Network, Fuzzy Logic, Machine Learning, Modeling, Identification, Control
January 1, 2003 – January 1, 2008
Netaji Subhas Institute of Technology
Master of Technology (M.Tech.), Artificial Intelligence in Process Control
January 1, 2000 – January 1, 2001
Mahatma Jyotiba Phule Rohilkhand University
Bachelor of Technology (B.Tech.), Electronics and Instrumentation Engineering
January 1, 1995 – January 1, 1999
L&T Technology Services
Global AI Leader & Research Head
July 1, 2021 – Present
L&T Technology Services
Head - Artificial Intelligence, Cognitive Computing and Data Analytics
December 1, 2016 – June 1, 2021
IBM India Private Limited
Group Manager - Data Analytics & Cognitive Computing
April 1, 2016 – November 1, 2016
Bangalore
Wipro
Senior Architect - Artificial intelligence
October 1, 2014 – April 1, 2016
Bangalore
The Hi-Tech Robotic Systemz Ltd
Principal Scientist, Head and Competency Leader of Robotics, Control, AI and Computer Vision Group
June 1, 2008 – September 1, 2014
Gurgaon, India
Indian Institute of Technology, Delhi
Research Scientist - Artificial intelligence
February 1, 2008 – June 1, 2008
New Delhi
Netaji Subhas Institute of Technology
Research Fellow - Artificial intelligence & Soft Computation
July 1, 2003 – January 1, 2008
New Delhi
G.T.B.I.T, Rajouri Garden, New Delhi
Professor
February 1, 2002 – June 1, 2003
Greater Delhi Area
B.I.E.T, Jhansi, U.P.
Adjunct Professor
July 1, 1999 – May 1, 2000
Jhansi, UP
Cultural Fit Analysis
The candidate's diverse experience across multiple large technology companies (L&T, IBM, Wipro) and research institutions (IIT Delhi, NSIT) indicates adaptability to various organizational cultures. Their long tenure in AI-focused roles and continuous progression to leadership positions align well with a culture that values innovation, technical depth, and strategic vision in AI. The breadth of skills and project types (robotics, defense, engineering problems) suggests a broad cultural fit for organizations pushing the boundaries of AI applications.
Soft Skills & Operational Fit
The candidate's extensive leadership experience suggests strong soft skills in team management, strategic planning, and innovation. The descriptions of leading core AI teams and pioneering General AI indicate operational fit for high-impact, strategic roles. However, without specific psychometric test results, a detailed assessment of work attitude, stress handling, and team collaboration is not possible.