AI Lead @ Inovalon | Ex Birdeye, S&P Global & McAfee | Building AI-powered products | USC Alum
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AI Leader with 15+ years of experience driving innovation and solving complex business problems across global organizations, including S&P Global and McAfee. Passionate about building and scaling AI-driven solutions that deliver measurable business impact. Interests: Artificial Intelligence, Machine Learning, Data Science, Generative AI, LLMs, Distributed Systems 📧 vinod.sharma@outlook.com
University of Southern California
Master's degree, Computer Science
January 1, 2010 – January 1, 2012
Punjab Technical University
B.Tech, Information Technology
January 1, 2003 – January 1, 2007
Inovalon
Director, AI Engineering and Data Science
April 1, 2026 – Present
Gurugram, Haryana, India · Hybrid
Birdeye
Engineering Manager Data Scientist
May 1, 2025 – April 1, 2026
Gurugram, Haryana, India · Hybrid
Artivatic - Insurtech | Healthtech
Data Science Manager
September 1, 2024 – May 1, 2025
Indore, Madhya Pradesh, India · On-site
Sero AI - Remunance
Chief Technology Officer
January 1, 2024 – July 1, 2024
Gurugram, Haryana, India · Remote
S&P Global
Lead Data Science
October 1, 2019 – December 1, 2023
Gurgaon, Haryana, India · Hybrid
RailYatri.in
Principal Data Scientist
December 1, 2018 – September 1, 2019
Noida Area, India
Gobble
Data Scientist
August 1, 2017 – November 1, 2018
Palo Alto, California
University of Southern California
Research Assistant
August 1, 2012 – December 1, 2016
Los Angeles Metropolitan Area
Security Research Lab, University of California, Berkeley
Research Intern
May 1, 2011 – August 1, 2011
San Francisco Bay Area
McAfee
Research Engineer
August 1, 2009 – July 1, 2010
Bangalore, India
iPolicy Networks
Vulnerability Researcher
June 1, 2007 – July 1, 2009
Noida, Uttar Pradesh, India
Cultural Fit Analysis
The candidate has worked across various company sizes and industries (Insurtech, Healthtech, Financial Services, Travel, Food Delivery, Academia), demonstrating adaptability. Their roles consistently involve leading and building AI/ML capabilities, indicating a strong alignment with an innovative, data-driven culture. The breadth of skills and project diversity suggest a proactive and continuous learning mindset.
Soft Skills & Operational Fit
The candidate's resume highlights strong leadership, strategic thinking, problem-solving, and project management skills. Their experience in scaling teams and delivering complex AI products suggests a high degree of operational fit and ability to drive initiatives. The descriptions indicate a results-oriented approach with a focus on business impact.