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Distinguished Scientist and Director for Artificial Intelligence and Machine Learning
Decades of research in artificial intelligence and machine learning. Designing and implementing solutions spanning many areas; specializing in reinforcement learning and evolutionary algorithms. Decades of experience designing and implementing compilers, linkers, assemblers, and custom embedded operating systems. Specializing in compiler architecture, optimizations, and language design for high performance computing and embedded operating systems. Extremely well-versed in the gaming industry, having designed the compilers for Nintendo and previous generations of Sony Playstations. Adept at embedded system design and tools, having designed and implemented a wide array of mission critical systems. Examples include submarine long range communication, base-station satellite tracking systems, airport runway de-icing systems, and seismographs designed for analysis of explosives. Experienced in automotive software for both real time and desktop applications such as adaptive engine management and custom computational fluid dynamics analysis software. Extremely proficient in algorithm design, modeling and analysis. Fluent in Julia, Scheme, LISP, C, C++, Python and many assembly languages.
Indiana University Bloomington
Math & Computer Science
N/A – Present
NVIDIA
Distinguished Scientist and Director for Artificial Intelligence and Machine Learning
June 1, 2022 – Present
NVIDIA
Principal Scientist and Senior Member of Technical Staff
November 1, 2007 – Present
Freescale
Principal Scientist and Senior Member of Technical Staff
January 1, 2003 – January 1, 2007
Metrowerks (a Motorola Company)
Principal Compiler Engineer, Games Lead
April 1, 2000 – January 1, 2007
Motorola
Principal Computer Scientist
January 1, 2000 – January 1, 2006
Larcor
Senior Computer Scientist
December 1, 1995 – February 1, 2000
Environmental Technology, Inc.
Senior Computer Scientist
March 1, 1989 – January 1, 1995
Electrocom Ind.
Computer Scientist
February 1, 1984 – November 1, 1989
Cultural Fit Analysis
The candidate's career trajectory shows a strong focus on highly specialized, low-level systems and compiler engineering, primarily within large technology companies (NVIDIA, Freescale, Motorola). While this demonstrates deep expertise, the target role of 'Backend Engineer' is broad. The candidate's experience is heavily skewed towards compiler development, embedded systems, and AI/ML research, which may not directly align with typical enterprise backend engineering requirements (e.g., distributed systems, cloud platforms, web services, specific programming languages like Java/Python/Go for business logic). The lack of explicit project diversity outside of compilers and embedded systems suggests a potentially narrow cultural fit for a general backend role, unless the role specifically involves performance-critical systems or compiler integration. The candidate's experience level (55 years) is very high, indicating a long and distinguished career, but also potentially a gap in modern backend technologies if not explicitly stated.
Soft Skills & Operational Fit
The candidate's extensive leadership roles (Director, Principal Scientist, Team Lead) indicate strong operational fit for senior positions, demonstrating experience in project management, team leadership, and strategic technical direction. The descriptions imply strong problem-solving and innovation capabilities, crucial for complex backend engineering challenges. Communication skills are inferred from the detailed descriptions of complex technical work and leadership responsibilities.