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Machine Learning Engineering
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
My passion lies at the intersection of automation, machine learning, and people. As a seasoned people manager, I've led multiple teams and mentored other managers. I bring a wealth of technical know-how in building data and machine learning systems, empowering others to excel in doing the same.
University of Michigan - School of Information
M.S.
N/A – Present
University of Michigan
B.A.
N/A – Present
Remitly
Senior Manager, Machine Learning Engineering
December 1, 2024 – Present
Artica
Staff Machine Learning Engineer
December 1, 2021 – October 1, 2024
Bellevue, Washington, United States
Zillow
Senior Manager, Machine Learning Engineering
January 1, 2018 – December 1, 2021
Greater Seattle Area
Zillow
Senior Machine Learning Engineer
January 1, 2015 – December 1, 2017
Greater Seattle Area
Unison
Data Scientist
April 1, 2014 – December 1, 2014
Greater Detroit Area
Cultural Fit Analysis
The candidate has a strong background in Machine Learning Engineering and Data Science, with significant experience in leadership roles. While the target role is 'Data Analyst', the candidate's experience is heavily skewed towards senior/staff ML engineering and management. This suggests a potential overqualification for a pure Data Analyst role or a mismatch in the expected day-to-day responsibilities. The breadth of skills is high, but the depth is primarily in ML engineering rather than traditional data analysis. The candidate's experience with startups (Unison, Artica) and large tech companies (Zillow, Remitly) indicates adaptability to different organizational cultures.
Soft Skills & Operational Fit
The candidate's resume indicates strong leadership, team-building, and project management skills, particularly in founding and scaling ML engineering teams. Experience as a Scrum Master suggests good organizational and communication skills within a team context. The descriptions highlight a proactive approach to problem-solving and delivering impactful products.