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Solution Architect Manager - Cloud AI & Accelerated Workloads
My interests are in advancing data science and machine intelligence while respecting human values in future technology ecosystems. Currently I'm a Solutions Architect at NVIDIA where we apply the latest AI research (focusing on deep learning) to the challenges of modern business. Previously I was a Principal Data Scientist at Phyn -- an IoT startup focused on water conservation and leak detection using sensor data and machine learning. I studied Cognitive Science and Computer Science as an undergraduate at UC Berkeley. Later, I received a PhD from the University of Washington's Computer Science and Engineering Department in June of 2014 where my thesis focus was on Machine Learning applications for Information Privacy in Emerging Sensor Contexts. CV/Resume @ http://miro.enev.us
University of Washington
Doctor of Philosophy (Ph.D.), Computer Science and Engineering
January 1, 2008 – January 1, 2014
University of California, Berkeley
Bachelor of Arts (BA), Cognitive Science
January 1, 2001 – January 1, 2005
NVIDIA
Manager, Solution Architecture & Data Science
January 1, 2023 – Present
NVIDIA
Principal Engineer & Data Scientist
May 1, 2020 – January 1, 2023
NVIDIA
Senior Solutions Architect & Data Scientist
October 1, 2016 – May 1, 2020
Phyn
Principal Data Scientist
August 1, 2016 – October 1, 2016
Seattle
Belkin
Senior Machine Learning Engineer
April 1, 2014 – August 1, 2016
Cloud Architecture: Advanced Concepts
June 24, 2026 – Present
Cultural Fit Analysis
The candidate has a strong background in data science and engineering, which aligns with a data-driven culture. Their experience at a large tech company like NVIDIA and a startup like Phyn suggests adaptability to different organizational structures. However, the target role is 'Data Analyst,' which might be a step down from their 'Principal Engineer & Data Scientist' and 'Manager' roles, potentially indicating a mismatch in career trajectory or expectations. The lack of diverse industry experience outside of tech/IoT could also be a factor.
Soft Skills & Operational Fit
The candidate's career progression to management and solution architecture roles at NVIDIA suggests strong leadership, problem-solving, and communication skills. Their Ph.D. background implies strong analytical and research capabilities. However, without specific project details or psychometric test results, a detailed assessment of operational fit and specific soft skills is limited.