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VP Engineering, Agentforce at Salesforce
Expertise in AI, NLP, and Machine Learning product development. I care deeply about shipping innovative products that customers love. Products that solve for a customer job to be done * Applied R&D leader with 20 years of AI/ML experience * Instrumental in hiring and building Machine Learning, Engineering and Data Science teams for over 10 years * Provides mentorship and leads managers and ICs at all levels with effective feedback and coaching * Results driven leadership where impact is scientifically measured through KPI improvements
Johns Hopkins Whiting School of Engineering
M.S.E, Computer Science
January 1, 2006 – January 1, 2007
International Institute of Information Technology Hyderabad (IIITH)
B. Tech (Hons.), Computer Science Engineering
January 1, 2002 – January 1, 2006
Salesforce
VP of Software Engineering
August 1, 2025 – Present
Salesforce
Sr Director
August 1, 2021 – July 1, 2025
Salesforce
Director, ML Applications
July 1, 2019 – July 1, 2021
MZ
Director, AI/ML
March 1, 2014 – July 1, 2019
MZ
Machine Learning & NLP Lead
June 1, 2012 – February 1, 2014
Pearson
Sr. Research Scientist
January 1, 2008 – June 1, 2012
San Francisco Bay Area
Johns Hopkins University
Research Assistant
September 1, 2006 – August 1, 2007
Baltimore, Maryland Area
Gamification
Coursera
June 24, 2026 – Present
Cultural Fit Analysis
The candidate has a strong background in AI/ML and software engineering leadership, which aligns with a high-impact technical culture. However, the target role is 'Data Analyst', which is a significant shift from their senior leadership and engineering focus. While they possess strong analytical skills from their past roles (Data Mining, Data Analysis, ML applications), the direct alignment with a pure 'Data Analyst' role, which typically involves less leadership and more hands-on data manipulation and reporting, is not a perfect fit. Their experience is more geared towards leading and building AI/ML systems rather than traditional data analysis.
Soft Skills & Operational Fit
The candidate's extensive experience in leadership roles, driving product vision, and working with cross-functional partners indicates strong communication, collaboration, and strategic thinking skills. Their background in building and leading teams suggests strong operational fit for managing technical initiatives.