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Machine Learning Engineer
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Experienced Machine Learning Engineer with a demonstrated history of working in the AI industry. Skilled in python, ML frameworks, cloud computing platforms, and distributed computing.
Udacity
Self Driving Car Engineer Nanodegree
January 1, 2017 – January 1, 2018
Udacity
Machine Learning Engineer Nanodegree
January 1, 2016 – January 1, 2018
Ivy Tech Community College
Associate's degree, Automotive Engineering Technology/Technician (Not Completed)
January 1, 2009 – January 1, 2011
Purdue University
Bachelor of Science (BS), Mechanical Engineering Technology
January 1, 2006 – January 1, 2013
OneStudyTeam
Senior Machine Learning Engineer
July 1, 2022 – December 1, 2022
Brooklyn, New York, United States
NavTrac
Machine Learning Infrastructure Engineer
September 1, 2021 – June 1, 2022
ZitySpace
Software Engineering Advisor
August 1, 2021 – June 1, 2022
ZitySpace
Head Of Infrastructure
February 1, 2021 – August 1, 2021
Mai (Markable AI)
Deep Learning Engineer
August 1, 2018 – December 1, 2020
Greater New York City Area
Self-Employed
Machine Learning Engineer
January 1, 2016 – July 1, 2018
Tuson Corporation
Mechanical Engineer
January 1, 2014 – December 1, 2015
Vernon Hills
Semantic Segmentation
December 1, 2017 – Present
Label the pixels of road in images using a Fully Convolutional Network (FCN).
Vehicle Detection
July 1, 2017 – Present
Develop a pipeline to detect vehicles in give video or image.
Behavioral Cloning
June 1, 2017 – Present
Build convolutional neural network to mimic human driving behavior in simulator.
The Arduino Platform and C Programming
Coursera
June 24, 2026 – Present
Lean Six Sigma Green Belt
Purdue University
June 24, 2026 – Present
Python Data Structures
Coursera
June 24, 2026 – Present
Self Driving Car Engineer
Udacity
June 24, 2026 – Present
Cultural Fit Analysis
The candidate has a diverse background, transitioning from Mechanical Engineering to Machine Learning. Their experience spans various companies and roles, including advisory and head of infrastructure positions, which suggests adaptability. The personal projects in autonomous driving align well with the ML Engineer target role, particularly in computer vision. However, the relatively short tenures at some recent companies (e.g., OneStudyTeam, NavTrac, ZitySpace) might warrant further inquiry regarding long-term commitment and team integration. The lack of explicit team collaboration details in the provided data limits a deeper cultural fit assessment.
Soft Skills & Operational Fit
The candidate's experience descriptions highlight leadership in infrastructure and pipeline design, suggesting strong problem-solving and architectural skills. The focus on productionizing ML models and improving latency/throughput indicates an operational mindset. However, without specific soft skill assessments or detailed project narratives, a comprehensive evaluation of soft skills and operational fit is limited.