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ML Engineering Manager and Technical leader at Apple
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Assessing your cultural and operational fit
Expertise: Large-Scale LLM Optimization, Diffusion Models, and Deep Learning Systems. My team is responsible for generative model optimization and research, spanning LLM optimization, discrete diffusion (text, image, audio), efficient training and inference. Top strength is the ability to formulate impactful research problems, design and run rigorous experiments, implement scalable solutions, communicate results clearly, and integrate advanced modeling techniques into production systems.
Stanford University Online Courses: Artificial Intelligence
Artificial Intelligence
January 1, 2011 – January 1, 2011
Stanford University Online Courses: Machine Learning
Machine Learning
January 1, 2011 – January 1, 2011
Russian summer school in Information Retrieval (RUSSIR 2010)
Information Retrieval
January 1, 2010 – January 1, 2010
N.I.Lobachevsky’s Nizhny Novgorod State University
Master's degree, Applied Mathematics and Computer Science
January 1, 2009 – January 1, 2011
Russian summer school in Information Retrieval (RUSSIR 2009)
Information Retrieval
January 1, 2009 – January 1, 2009
Intel winter school in the field of Graphics, Lobachevsky’s NNSU
Computer Graphics
January 1, 2008 – January 1, 2008
Intel summer school ITLab in the field of Parallel programming, Lobachevsky's NNSU
Parallel programming
January 1, 2007 – January 1, 2007
N.I.Lobachevsky’s Nizhny Novgorod State University
Bachelor's degree, Computer Science
January 1, 2005 – January 1, 2009
Apple
ML Engineering Manager and Technical leader
April 1, 2020 – Present
Apple
Senior Machine Learning Engineer
April 1, 2017 – March 1, 2020
Senior ML Engineer
May 1, 2015 – April 1, 2017
San Francisco Bay Area
Microsoft
ML Engineer 2
October 1, 2012 – May 1, 2015
Greater Seattle Area · On-site
Intel Corporation
Application Developer
January 1, 2010 – February 1, 2012
Mera Info digital Networks
Software designer
January 1, 2009 – January 1, 2010
On-site
Duarte Academy: Presentations That Resonate class
Establish Context and Generate Content. Construct a Story and Connect to the Audience. Design Impactful Visuals. Identify the Signs and Traits of a Comfortable Speaker. Discover Your Core and the Impact of Empathy.
June 24, 2026 – Present
Data Analysis and Statistical Inference
Coursera Course Certificates
June 24, 2026 – Present
edX Verified Certificate for Scalable Machine Learning
edX
June 24, 2026 – Present
Conscious Business
June 24, 2026 – Present
Game Theory II: Advanced Applications
Coursera Course Certificates
June 24, 2026 – Present
Game Theory
Stanford University and The University of British Columbia
June 24, 2026 – Present
Scalable Machine Learning using Spark
edX
June 24, 2026 – Present
Cultural Fit Analysis
The candidate's career trajectory through major tech companies (Apple, LinkedIn, Microsoft, Intel) demonstrates adaptability and experience in diverse corporate environments. The breadth of projects, from LLM optimization and Siri's natural language understanding to ad targeting and financial tools, indicates a versatile problem-solver. The continuous pursuit of education and certifications, including online courses from Stanford and edX, suggests a proactive and growth-oriented mindset, aligning well with a culture of continuous learning and innovation. While the target role is 'Data Analyst,' the candidate's extensive ML/Engineering background might indicate a preference for more advanced analytical or ML-focused data roles.
Soft Skills & Operational Fit
The candidate's experience as an ML Engineering Manager and Technical Leader at Apple suggests strong leadership, problem formulation, communication, and integration skills. The description highlights the ability to 'formulate research problems, design, experiment, implement, communicate, and integrate solutions into products,' which are critical for operational fit in a senior role. The certifications in 'Conscious Business' and 'Presentations That Resonate' also indicate an investment in professional development beyond technical skills.