Machine Learning Software Engineer seeking new opportunities
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Assessing your cultural and operational fit
I'm a machine learning specialist with a particular interest in time series classification and segmentation problems, interpretable models and unusual pattern recognition tasks. I was the first hire at MotionSavvy, where I was responsible for the finger-spelling and sign recognition system, much of the machine learning and data collection back end infrastructure, and large parts of the natural language processing. I am currently seeking a machine learning role.
Rochester Institute of Technology
Bachelor of Science - BS, Computer Science
January 1, 2014 – Present
Rochester Institute of Technology
Master's degree (ABD), Computer Science
January 1, 2014 – January 1, 2018
Advantis Global
Full Stack Programmer I (Facebook)
April 1, 2021 – December 1, 2021
Portland, Oregon, United States
IGNW
Senior Software Engineer (Nike)
June 1, 2019 – June 1, 2020
Portland, Oregon Metropolitan Area
Goose Design Co. LLC
Software Engineer
August 1, 2018 – May 1, 2019
Rochester, New York Metropolitan Area
Rochester Institute of Technology
Research Assistant
August 1, 2015 – December 1, 2015
Rochester, New York Metropolitan Area
MotionSavvy
Machine Learning Software Engineer
May 1, 2015 – August 1, 2018
Rochester, New York Metropolitan Area
Retrotech
Software Programer Co-op
January 1, 2013 – January 1, 2014
Rochester, New York Metropolitan Area
Cultural Fit Analysis
The candidate has experience in diverse environments, from startups (MotionSavvy, Goose Design Co.) to large corporations (Facebook via Advantis Global, Nike via IGNW). Their roles have involved both individual contribution and team management. However, the target role is 'Data Analyst', and while there are strong analytical and data-related skills, the primary roles have been 'Full Stack Programmer' and 'Software Engineer', which might indicate a slight misalignment with a pure analyst role. The breadth of skills is good, but the depth specifically in data analysis tools and methodologies (beyond ML development) is not explicitly detailed.
Soft Skills & Operational Fit
The candidate's experience at MotionSavvy as the first ML specialist and manager suggests leadership, initiative, and problem-solving skills. Their work on improving pipelines and developing tools indicates a proactive approach to operational efficiency. However, without specific psychometric test results, a detailed assessment of work attitude, stress handling, and team collaboration is not possible.