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Applied AI Eng Manager @ Meta
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Assessing your cultural and operational fit
I am currently an Applied AI Engineering Manager at Meta. Previously, I held leadership roles at JPMorgan Chase & Co. and OakNorth, establishing and scaling AI and ML engineering functions. As an advisory board member for Sabanci University's Business Analytics Graduate Program, I support the development of future AI and analytics professionals.
MIT Sloan School of Management
Master of Business Administration - MBA
January 1, 2010 – January 1, 2012
UC Santa Barbara
Doctor of Philosophy - PhD, Electrical and Computer Engineering
January 1, 2004 – January 1, 2008
Istanbul Technical University
Bachelor of Science - BS, Computer Engineering, Electronics & Communication Engineering
January 1, 1999 – January 1, 2004
Meta
Applied AI Engineering Manager
April 1, 2026 – Present
Meta
AI ML Engineering Manager
May 1, 2024 – May 1, 2026
Sabanci University
Advisory Board Member
March 1, 2022 – Present
Istanbul, Turkey
JPMorgan Chase & Co.
Head of ML Engineering - Senior Executive Director
May 1, 2021 – May 1, 2024
London, England, United Kingdom · On-site
OakNorth
Head of AI
March 1, 2017 – April 1, 2021
London, United Kingdom · On-site
İstanbul Şehir University
Assistant Professor of Computer Science
September 1, 2012 – June 1, 2017
İstanbul Şehir University
Co-Director Interdisciplinary Data Exploration and Analytics Laboratory (IDEA Lab.)
September 1, 2012 – June 1, 2017
McKinsey & Company
Summer Associate
June 1, 2011 – August 1, 2011
Istanbul, Turkey
Intel Corporation
Component Design Engineer
July 1, 2008 – June 1, 2010
San Francisco Bay Area
Mentor Graphics
Intern
June 1, 2007 – September 1, 2007
University of California
Researcher
January 1, 2004 – January 1, 2008
Santa Barbara, California Area
AWS Certified Machine Learning – Specialty
Amazon Web Services (AWS)
June 24, 2026 – Present
AWS Certified Solutions Architect – Associate
Amazon Web Services (AWS)
June 24, 2026 – Present
Cultural Fit Analysis
The candidate's diverse experience across academia, research, fintech, and large tech companies (Intel, McKinsey, JPMorgan, Meta) demonstrates adaptability and a broad understanding of different organizational cultures. Their involvement in founding a lab and developing a data science curriculum shows initiative and a collaborative spirit. The transition from engineering to AI/ML leadership roles, and advisory positions, suggests a proactive approach to career development and a willingness to engage with new challenges. The target role of 'Data Analyst' is a significant shift from their recent senior leadership and engineering management roles, which might indicate a desire for a more hands-on, analytical contribution, or a misunderstanding of the target role's scope given their extensive experience.
Soft Skills & Operational Fit
The candidate's career trajectory from research to academia to senior leadership roles in AI/ML engineering and management suggests strong leadership, strategic thinking, and problem-solving skills. Their experience in developing and teaching courses like 'Data Science for Business' indicates an ability to communicate complex technical concepts to business stakeholders, which is crucial for a Data Analyst role. The advisory board membership further highlights leadership and strategic influence. However, the provided data does not include specific psychometric test results to directly assess work attitude, stress handling, or team collaboration.