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VP of Data Science, ML & AI | Building AI Products at Scale | 20 Years Driving Impact from Research to Revenue | Hands-on AI Transformation & Growth Leader
I’m seasoned AI/ML, Data Science, and Product Engineering executive with 20 years of transforming ambitious technical vision into business impact across defense R&D, digital publishing, EdTech, HRTech, Supply Chain Intelligence, and 2-sided marketplace platforms. I build AI/ML organizations and intelligent systems from first principles — scaling teams, architecting algorithms, platforms, and user experiences — all in service of shipping AI/ML products that generate measurable revenue and operational impact. My approach combines hands-on technical leadership with strategic product thinking, moving fluidly between code, architecture, and business strategy. WHAT I'VE BUILT: - AI/ML organizations from 0 to 75+ engineers across multiple companies - Systems serving 30M+ daily users and processing billions of events - ML platforms generating $200M+ in recurring revenue impact - Production-grade solutions in NLP, search, recommendations, knowledge graphs, computer vision, and generative AI RECENT FOCUS: Building next-generation AI systems that combine classical ML with modern LLMs and agentic AI design patterns — from fine-tuned models for domain-specific tasks to reinforcement learning for marketplace optimization. Particular expertise in taking research prototypes from 0-to-1 at production scale while maintaining engineering excellence. I'm energized by complex technical problems, building and inspiring high-performing teams, and companies where AI is a core competitive advantage, not a feature experiment. TECHNICAL DEPTH: Generative AI | LLMs | Deep learning | NLP | Search & Recommendations | Knowledge Graphs | Computer Vision | Reinforcement Learning | MLOps | Distributed Systems DOMAINS: B2B SaaS | Marketplaces | Supply Chain | EdTech | Consumer Electronics | Defense R&D Let's connect if you're building AI systems that matter.
The Ohio State University
PhD (ABD), CS
N/A – Present
Sardar Patel College of Engineering (SPCE),Mumbai
BS, ECE
N/A – Present
Temple University
MS, ECE
N/A – Present
6sense
VP, Data Science & AI Engineering
February 1, 2026 – Present
Primary Venture Partners
Expert
April 1, 2025 – Present
Talent.com
VP of Machine Learning & AI
March 1, 2025 – February 1, 2026
San Francisco Bay Area · Hybrid
Altana Technologies
VP of Machine Learning & AI
January 1, 2023 – January 1, 2025
San Francisco Bay Area · Hybrid
Course Hero
VP of Machine Learning & AI Products
January 1, 2021 – September 1, 2023
Course Hero
Sr Director of Machine Learning
October 1, 2018 – January 1, 2021
Bose Corporation
Director & Principal Engineer - Machine Learning
October 1, 2015 – October 1, 2018
Framingham, MA
EBSCO Information Services
Principal Engineer — AI, NLP and Semantic Search
September 1, 2014 – October 1, 2015
Ipswich, Massachusetts
RTX
Staff ML Scientist & Engineering Manager
January 1, 2013 – September 1, 2014
RTX
Senior ML Scientist & Engineering Manager
January 1, 2011 – January 1, 2013
Voice Biometrics Group
Co-Founder & Chief AI Scientist
October 1, 2010 – December 1, 2019
Remote
RTX
Senior Scientist, Machine Learning
February 1, 2009 – January 1, 2011
VoiceVerified
Senior Machine Learning Engineer
February 1, 2007 – February 1, 2009
Greater Philadelphia Area
Cultural Fit Analysis
The candidate's career trajectory shows a strong inclination towards pioneering AI/ML initiatives in various domains, from startups to large corporations. Their experience with diverse technical stacks and problem spaces (e.g., B2B revenue intelligence, job marketplaces, supply chain, EdTech, audio, defense, biometrics) suggests adaptability and a broad interest in applying AI to different challenges. This diversity, coupled with their leadership in building AI-first organizations, indicates a strong cultural fit for innovative, fast-paced environments that value technical leadership and strategic impact. However, the target role is 'Backend Engineer' while the candidate's experience is heavily skewed towards 'Data Science & AI Engineering' leadership, which might indicate a mismatch if the role is purely implementation-focused without significant AI/ML strategy or leadership components.
Soft Skills & Operational Fit
The candidate's extensive experience in leadership roles (VP, Director, Principal Engineer) across multiple companies demonstrates strong leadership, strategic thinking, and team management skills. Their descriptions highlight cross-functional collaboration, product strategy, and the ability to drive innovation, indicating a strong operational fit for senior roles requiring both technical depth and organizational influence. The descriptions also imply strong communication skills through their ability to articulate complex technical initiatives and their business impact.