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
Managing Director @ Morgan Stanley Wealth Management | Head of AI/Machine Learning
I’m passionate about identifying high-value client opportunities in both B2C and B2B settings, translating them into well-defined machine learning (ML) problem statements, and building scalable ML solutions—while galvanizing cross-functional teams to bring these solutions to life. I do my best work at the intersection of applied ML, product strategy, and organizational leadership. I am a machine learning and a product leader with 18+ years of experience spanning high-tech industries and finance. I bring expertise in partnering with C-suite executives to shape product strategies and execute ML product roadmaps—delivering impactful client experiences and driving sustainable profitable growth. Nurturing talent—empowering individuals to grow, lead, and realize their professional aspirations—is fundamental to my leadership approach. I invest in people through mentorship, by fostering leadership, and by creating opportunities for meaningful career growth. Several former team members have advanced into leadership roles in ML and Product. Beyond my work in industry, I advise early-stage startups and entrepreneurs building AI-driven products and contribute to public policy conversations around AI/ML as part of the Bipartisan Technology Policy Center. Specialities: Machine Learning: Recommender Systems | Computer Vision |Anomaly Detection (time-series) |Natural Language Understanding (NLU) | Robotics | Applied Data Science Product Strategy: ML Product Development and Management | Corporate Strategy Technologies: Python | Pytorch | AWS | Azure | Databricks
MIT Sloan School of Management
Minor - Strategic Management and Entrepreneurship
January 1, 2007 – Present
Massachusetts Institute of Technology
Ph.D., ENGINEERING
January 1, 2002 – January 1, 2007
Indian Institute of Technology, Bombay
B.Tech, Engineering
January 1, 1998 – January 1, 2002
Morgan Stanley
Managing Director | Head of Machine Learning, Wealth Management
January 1, 2022 – Present
New York City Metropolitan Area · On-site
Amazon
Amazon Alexa AI -- Sr. Research Science Manager
February 1, 2018 – January 1, 2022
Greater Boston
Applied Materials
Head, Director of Data Science, Applied Global Services
January 1, 2010 – January 1, 2018
Santa Clara
Oliver Wyman
Senior Associate, Management Consultant, Financial Services
January 1, 2007 – January 1, 2010
Cultural Fit Analysis
The candidate's diverse experience across Morgan Stanley, Amazon, and Applied Materials, coupled with a background in management consulting, suggests adaptability to various corporate cultures and problem domains. Their leadership in building ML organizations from the ground up and managing global roadmaps indicates a strong entrepreneurial and growth-oriented mindset. The focus on delivering 'delightful new experiences' and 'sustainable business outcomes' aligns with a client-centric and impact-driven culture. The lack of specific project details makes it difficult to assess collaboration style beyond leadership roles.
Soft Skills & Operational Fit
The candidate demonstrates strong leadership, strategic thinking, and team management skills through their progression to Managing Director and Sr. Research Science Manager roles. Their experience in client leadership and business strategy from Oliver Wyman further enhances their operational fit, indicating an ability to translate technical vision into business outcomes. The descriptions highlight an ability to ideate, innovate, and ship solutions, suggesting a proactive and results-oriented approach.