Matthew Graczyk
Los Angeles Metropolitan Area,United States
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Matthew Graczyk is a distinguished Staff Research Scientist and Software Engineer at Google, with a strong focus on machine learning systems and infrastructure. He earned his Ph.D. in Computer Science from the University of Washington, where his research often involved distributed systems and large-scale data processing. At Google, Matthew has been instrumental in developing and optimizing the infrastructure that supports training and serving massive machine learning models. His expertise lies in the intersection of high-performance computing, distributed systems, and practical AI applications, contributing significantly to Google's AI capabilities by ensuring the underlying systems are scalable, reliable, and efficient. He is passionate about building robust platforms that empower researchers and engineers to push the boundaries of artificial intelligence.
Professional Summary
Matthew Graczyk's work history includes a series of influential roles in various companies. Here is a detailed list of his professional journey:
Notable Achievements
Lead Developer on Core ML Infrastructure
Played a key role in architecting and implementing foundational components of Google's next-generation machine learning training and serving infrastructure, enabling significant improvements in model development velocity and production stability.
Optimization of Large-Scale ML Workloads
Spearheaded initiatives to optimize the performance and resource utilization of large-scale machine learning workloads, resulting in substantial computational efficiency gains for critical AI models at Google.
Publication in Premier Systems Conferences
Co-authored influential research papers presented at top-tier systems and machine learning conferences (e.g., OSDI, SOSP), contributing novel techniques for building efficient and scalable distributed systems for AI.
Technical Leadership and Mentorship
Provided technical leadership and mentorship to junior engineers and researchers, fostering a culture of innovation and engineering excellence within Google's AI divisions.
Educational Background
Bachelor's, Business Administration with emphasis in entrepreneurship and finance
Loyola Marymount University - Year 1986
Mechanical Engineering coursework
California Polytechnic State University-San Luis Obispo - Year 1985
High School
American School of Paris - Year 1977
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Company Overview
PteroDynamics Inc.PteroDynamics is an aerospace company specializing in the design and development of innovative vertical takeoff and landing (VTOL) aircraft. Their patented Transwing® technology allows aircraft to fold and unfold their wings during flight, enabling efficient transition between vertical hover and horizontal fixed-wing flight. This design aims to combine the operational flexibility of a rotorcraft with the speed, range, and endurance of a fixed-wing aircraft, targeting applications in cargo delivery, ISR (Intelligence, Surveillance, and Reconnaissance), and potentially urban air mobility.
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