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Founder @ Neuralix | Building Physical AI for Industrial Resilience | Distinguished Scientist
Leveraging over two decades in tech and data science, I'm an entrepreneur at the forefront of AI and data-driven innovation for the Energy and Manufacturing sectors. As founder of an award winning AI startup, I lead a highly skilled team tackling digitalization challenges, building on a track record of tech leadership, sustainable advancement and instant ROI generation for our industry partners. I also contribute as a scientist and advisor, influencing data science education and my work is also widely published in the industry. My goal: to spearhead industry transformation through cutting-edge AI applications and a commitment to continuous learning and collaboration. “Risk more than others think is safe. Care more than others think is wise. Dream more than others think is practical. Expect more than others think is possible.” – Claude Bissell
Lamar University
Master of Science - MS, Computer Science
January 1, 2001 – December 1, 2002
The University of Texas at El Paso
Ph.D., Electrical and Computer Engineering (Machine Learning)
N/A – Present
The University of Texas at El Paso
M.S., Electrical Engineering (Machine Learning, Signal Processing)
N/A – Present
Karnatak University
Bachelor of Science - BS, Electrical Engineering
N/A – Present
The Johns Hopkins University
Machine Learning
N/A – Present
Carnegie Mellon University
Member of the Board of Advisors
January 1, 2026 – Present
The University of Texas at El Paso
Member of the Board of Advisors
March 1, 2025 – Present
Neuralix AI
Co-Founder
December 1, 2023 – Present
Neuralix Inc.
Founder and CEO
October 1, 2023 – Present
United States
University of Oklahoma
Member of the Board of Advisors
April 1, 2018 – Present
Pioneer Natural Resources Company
Advisor Data Science
February 1, 2018 – October 1, 2018
Pioneer Natural Resources Company
Head of Data Science, Corporate Innovation, R&D Program Manager
September 1, 2017 – September 1, 2023
Pioneer Natural Resources Company
Senior Staff Scientist
September 1, 2017 – February 1, 2018
Sabre Corporation
Principal Scientist (AI / Game Theory driven Pricing and Revenue Management)
August 1, 2015 – September 1, 2017
Southlake, Texas
Global Geophysical Services
Sr. Research Scientist (Geophysical Signal Processing, ML Engineering)
August 1, 2014 – May 1, 2015
Dallas/Fort Worth Area
University of Oklahoma
Research Faculty / Scientist
September 1, 2009 – August 1, 2014
Norman, Oklahoma
University of Texas MD Anderson Cancer Center
Postdoctoral Research Fellow (Nuclear Medicine & Imaging Physics)
September 1, 2008 – August 1, 2009
Greater Houston
Eastman Kodak Company
Research Intern (High Dimensional ML Engineering)
May 1, 2006 – August 1, 2006
NASA - National Aeronautics and Space Administration
NASA Research Fellow
January 1, 2005 – May 1, 2008
United States
National Geospatial-Intelligence Agency
Graduate Research Assistant
December 1, 2002 – December 1, 2004
CSIR - National Aerospace Laboratories (NAL)
DSP Engineer Intern
May 1, 1998 – September 1, 1999
Bengaluru, Karnataka, India
Indian Institute of Science (IISc)
DSP Engineer Intern
May 1, 1997 – September 1, 1997
Greater Bengaluru Area
DevOps for Data Scientists
June 24, 2026 – Present
Leading with Empathy
June 24, 2026 – Present
The Six Morning Habits of High Performers
June 24, 2026 – Present
Unconscious Bias
June 24, 2026 – Present
Advanced Open Water Diver
PADI
June 24, 2026 – Present
Data Science
The Johns Hopkins University
June 24, 2026 – Present
Customized CUDA and OpenCL Training
Acceleware Ltd.
June 24, 2026 – Present
Unconventional Reservoir Geomechanics
Stanford University
June 24, 2026 – Present
InSAR Theory and Processing
UNAVCO
June 24, 2026 – Present
Hydraulic Fracture Monitoring using Microseismic
SEG
June 24, 2026 – Present
Cloudera Apache Spark Training
Cloudera
June 24, 2026 – Present
Cultural Fit Analysis
The candidate's diverse experience across academia, startups (Co-Founder, Founder/CEO), and large corporations (Pioneer Natural Resources, Sabre) demonstrates adaptability and a broad perspective. Their involvement in sustainability initiatives and advisory boards suggests a commitment to broader impact and continuous learning. However, the target role of 'Data Analyst' might be a significant down-leveling given their extensive leadership and research background in Data Science and AI, potentially leading to a mismatch in expectations or underutilization of their advanced skills. The lack of specific 'Data Analyst' role experience (e.g., dashboarding, routine reporting, specific BI tools) could be a gap.
Soft Skills & Operational Fit
The candidate's resume highlights strong technical leadership, product development, and communication skills through various roles. Experience in leading multidisciplinary teams and championing sustainable technology practices suggests a proactive and collaborative operational fit. The board advisory roles indicate strategic thinking and influence.