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AI/ML Leader | Search & Recommendation Systems
I’m a machine learning and AI leader with a track record of building and scaling end-to-end ML systems from research to production, and translating technical strategy into measurable business impact. I’ve led ML initiatives across search, recommendation, personalization, advertising and health tech in complex, product-driven environments. I focus on developing AI-first, data-driven products by balancing long-term technical strategy with rigorous experimentation and close cross-functional collaboration. I care deeply about building high-performing ML teams by establishing operational excellence, fostering growth-oriented engineering cultures, and enabling sustained ownership and impact. Interests: Search and Recommendation Systems, Personalization, Multimodal Machine Learning, Generative AI, Agentic AI
University of Central Florida
Doctor of Philosophy (Ph.D.), Computer Science
January 1, 2017 – Present
Carnegie Mellon University
Visiting Scholar, Machine Learning
January 1, 2015 – January 1, 2017
University of Central Florida
Master of Science - MS, Computer Science
January 1, 2015 – Present
Amirkabir University of Technology - Tehran Polytechnic
Bachelor's Degree , Computer Science
January 1, 2012 – Present
Upwork
Senior Machine Learning Manager
September 1, 2024 – Present
Upwork
Machine Learning Manager
December 1, 2023 – September 1, 2024
Chartboost
Lead Machine Learning Scientist/Manager
November 1, 2021 – December 1, 2023
Cognitiv
Machine Learning Scientist
August 1, 2020 – October 1, 2021
Proprio Vision
Machine Learning Researcher
June 1, 2019 – August 1, 2020
Apple
Machine Learning Engineer
January 1, 2018 – June 1, 2019
Educational Testing Service (ETS)
Computer Vision and Deep Learning R&D Intern
May 1, 2017 – August 1, 2017
Carnegie Mellon University
Visiting Graduate Research Assistant
August 1, 2015 – December 1, 2017
MultiComp (Multimodal Communication and Machine Learning Laboratory)
University of Central Florida
Graduate Research and Teaching Assistant
August 1, 2012 – December 1, 2017
CRCV (Center for Research in Computer Vision) & SREAL( Synthetic Reality Lab)
Cultural Fit Analysis
The candidate's extensive experience is heavily focused on Machine Learning, particularly in research, development, and management roles within ML-centric organizations (Upwork, Chartboost, Cognitiv, Apple). While this demonstrates deep technical expertise, the target role is 'Data Analyst'. This represents a significant mismatch in career trajectory and core responsibilities. The candidate's background is geared towards leading and building complex ML systems, not typically the day-to-day tasks of a Data Analyst. This misalignment suggests a low cultural fit for a pure Data Analyst role, although their analytical skills are undoubtedly strong.
Soft Skills & Operational Fit
The candidate's experience descriptions highlight leadership, team building, mentoring, and cross-functional collaboration (e.g., partnering with Product, Design, Front-End, Ads, Trust & Safety teams). This indicates strong operational fit and soft skills for managing complex ML initiatives and teams. The ability to translate model insights into actionable decisions and support fundraising also points to strong business acumen.