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 Energy & Industrial Technology Executive | Industrial AI | Grid & Market Software | P&L Leader
Senior energy and industrial technology executive with 27+ years of experience spanning applied industrial AI research, software and systems engineering, product leadership, global P&L ownership, and utility operations. My experience includes over two decades of applied AI and advanced analytics, including large-scale fleet analytics and industrial software platforms across aviation, power generation, oil and gas, and electricity networks. This includes 8+ years leading applied AI and advanced analytics research and over 3.5 years leading mission-critical grid and electricity market software platforms supporting electricity systems worldwide. This work spans digital twins, predictive maintenance, reliability and risk models, intelligent controls, optimization systems, grid operations and market optimization software, power systems, and AI-driven inspection deployed at enterprise scale. Separately, I bring 8 years of hands-on experience in power plant utility operations, commissioning, and asset management, grounding my technology and product leadership in real-world operational and reliability constraints. I bring a rare combination of deep technical credibility and executive business leadership, with hands-on expertise in AI and machine learning, statistics and predictive maintenance, optimization, software platforms, controls, and energy systems, paired with accountability for product strategy, technology roadmaps, and P&L performance.
Purdue University
MS, Engineering
N/A – Present
Dayalbagh Educational Institute
BS, Mechanical Engineering
N/A – Present
Gies College of Business - University of Illinois Urbana-Champaign
Master of Business Administration - MBA
N/A – Present
National Power Training Institute, Nagpur (Under Ministry of Power, Govt. of India)
PGD, Power Plant Engineering
N/A – Present
GE Vernova
VP & General Manager, Electricity Market Management | VP, GridOS Product
April 1, 2023 – Present
GE Vernova
VP- Artificial Intelligence and Digital Transformation
August 1, 2021 – April 1, 2025
GE Research
Executive Technology Director - Artificial Intelligence
April 1, 2016 – September 1, 2021
GE Research
Machine Learning Lab Manager
October 1, 2013 – April 1, 2016
GE Power
Engineering Manager- Advanced Controls & Decision Support
January 1, 2013 – September 1, 2013
Greenville-Spartanburg-Anderson, South Carolina Area
GE Power
Senior Engineer-Analytics
June 1, 2008 – January 1, 2013
Greenville-Spartanburg-Anderson, South Carolina Area
GE Research
Lead Engineer
June 1, 2004 – June 1, 2008
Greater Bengaluru Area
International Power PLC
Operations and Performance Engineer
December 1, 2001 – June 1, 2004
Oman
Enron
Operations Engineer
January 1, 2000 – January 1, 2001
Ratnagiri Area, India
Essar
Operations & Performance Engineer
January 1, 1998 – January 1, 2000
Greater Surat Area
Cultural Fit Analysis
The candidate's career trajectory within GE, moving from engineering to executive leadership in AI and product management, indicates a strong fit for structured, large-scale corporate environments. Their involvement in diverse projects across AI, grid software, and market management suggests an ability to adapt to various technical and business challenges. However, the target role of 'Data Analyst' is a significant mismatch with their executive-level experience, which could lead to cultural misalignment regarding scope of responsibility and day-to-day tasks. While their background is highly technical, the current role is far more strategic and managerial than hands-on data analysis.
Soft Skills & Operational Fit
The candidate demonstrates strong leadership, strategic thinking, and innovation drive through their extensive executive roles. Their experience in managing global teams and large budgets suggests robust operational capabilities and a results-oriented approach. The focus on digital transformation and AI indicates adaptability and a forward-thinking mindset.