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Director of Engineering, Machine Learning @ LinkedIn | AI & Data Science leader for LinkedIn Premium (Growth, Value and Foundations) | Angel Investor
I lead Data & AI for LinkedIn Premium, a multi-billion-dollar global subscription business. In this role, I define and drive the end-to-end AI, data science, and data platform strategy, partnering closely with engineering executives to unlock growth, innovation, and operational excellence. I oversee a broad organization (~60 ICs) spanning senior leaders in engineering, applied AI, data science, economics, and data platforms, building systems that operate at massive scale and power critical monetization, pricing, and personalization capabilities. I bring deep expertise in designing and scaling subscription businesses, translating advanced AI and data capabilities into measurable business impact. I am an inventor and thought leader in the field, with 18 patents and publications in machine learning and AI, and I am a frequent speaker at C-level and executive conferences on AI-driven growth and transformation. My team is distributed across the Bay Area and New York City, and I work closely with C-suite and senior executive stakeholders to shape strategy at the highest levels of the company.
University of Illinois Urbana-Champaign
Master's degree, Computer Science
N/A – Present
Director of Engineering, Machine Learning
August 1, 2024 – Present
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January 1, 2022 – July 1, 2024
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May 1, 2014 – August 1, 2014
cupertino, california
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August 1, 2013 – May 1, 2014
University of Illinois at Urbana-Champaign
Graduate Research Assistant
August 1, 2013 – December 1, 2014
Adobe
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March 1, 2012 – July 1, 2013
Noida, Uttar Pradesh, India
Servigistics
software developer
July 1, 2011 – March 1, 2012
Microsoft
Intern Multipoint Application Development
June 1, 2010 – August 1, 2010
Unconscious Bias
June 24, 2026 – Present
Cultural Fit Analysis
The candidate's career trajectory at LinkedIn, moving from Software Engineer to Director of Engineering, Machine Learning, demonstrates strong loyalty and growth within a single organization. Their involvement in initiatives like WIT and hackdays suggests a commitment to diversity, innovation, and community. However, the target role of 'Data Analyst' is a significant mismatch with their extensive senior leadership and strategic AI/ML background. While they possess strong data skills, the role itself is a substantial down-leveling and may not align with their career aspirations or leverage their full capabilities, potentially leading to a poor cultural fit for the specific role, despite strong general corporate cultural fit.
Soft Skills & Operational Fit
The candidate's extensive experience in leadership roles at LinkedIn and Facebook, including managing large, distributed teams and partnering with C-suite executives, indicates strong communication, strategic thinking, and operational management skills. Their involvement in community service like WIT and intern hiring programs suggests a collaborative and growth-oriented mindset. The description of building teams from scratch and restructuring organizations points to strong organizational and leadership capabilities.