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Engineering Leader, PyTorch On-Device
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Engineering leader focused on on-device machine learning, turning cutting-edge research into reliable, high-performance production systems that run on phones and wearable/AR devices. I’m energized by problems at the intersection of ML systems, developer platforms, and product impact, especially where great engineering can make advanced ML fast, portable, and widely deployable.
Rensselaer Polytechnic Institute
PhD, Computer Science
January 1, 2008 – January 1, 2011
Rensselaer Polytechnic Institute
Master of Science, Computer Science
January 1, 2005 – January 1, 2007
Bilkent University
BS, Computer Science
January 1, 2001 – January 1, 2005
Meta
Engineering Leader, Meta Super Intelligence Labs - PyTorch On-Device
November 1, 2019 – Present
University of Washington
Lecturer
February 1, 2018 – December 1, 2018
Greater Seattle Area
Zillow
Manager, Machine Learning Engineer
December 1, 2017 – November 1, 2019
Greater Seattle Area
Versive (formerly Context Relevant)
Staff Engineer
August 1, 2016 – September 1, 2017
Greater Seattle Area
Intel Corporation
Research Scientist
December 1, 2013 – August 1, 2016
Portland, Oregon Area
Lawrence Berkeley National Laboratory
Postdoctoral Fellow
August 1, 2011 – November 1, 2013
Berkeley, CA
GE Research
Research Intern
June 1, 2008 – August 1, 2008
AT&T
Research Intern
June 1, 2007 – August 1, 2007
Rensselaer Polytechnic Institute
Research Assistant
August 1, 2005 – October 1, 2011
Cultural Fit Analysis
The candidate has a diverse professional background spanning academia, research labs, and major tech companies (Meta, Zillow, Intel). This breadth of experience suggests adaptability to various organizational cultures. Their involvement in leading PyTorch on-device initiatives and developing ML models for products indicates a results-oriented and innovative mindset. However, the target role of 'Data Analyst' might not fully leverage their extensive leadership and research background, potentially leading to a mismatch in expectations or underutilization of their senior-level expertise. The lack of specific 'Data Analyst' projects or direct experience in traditional data analysis tools (e.g., SQL, BI tools) could be a gap for cultural fit within a typical data analyst team.
Soft Skills & Operational Fit
The candidate's resume highlights leadership, coaching, and agile methodologies, indicating strong soft skills for team collaboration and project management. Their experience in leading organizations and driving partnerships suggests a proactive and strategic operational fit. However, the target role is 'Data Analyst', which might be a step down from their leadership roles, potentially impacting operational fit if the role lacks strategic influence.