Christian
ML EngineerAI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
AI Technical Lead at Google
Driven by curiosity of both the natural world and human nature, I am constantly seeking knowledge, skills, and opportunities that will make me a better teacher, inventor, leader, and solver of real human needs. • Reinforcement learning researcher and deep learning practitioner (image and speech recognition) • Proficient statistical and machine learning modeler using scikit-learn, statsmodels, and TensorFlow • Adept developing data science applications using Spark, Hadoop, and whatever tools I can find or make myself • 10+ years in quantitative analysis, programming, and solving hard problems • 3 years using and teaching human-centered design thinking • 8 years leading or facilitating diverse teams to successful outcomes • Proficient at communicating technical ideas between experts and non-experts • Ability to contribute evidence-backed insights and ever-improving code to an ambitious, collaborative team
Stanford University
Doctor of Philosophy (Ph.D.), Physics
January 1, 2006 – January 1, 2014
Case Western Reserve University
B.S.E., Physics, Computer Engineering
January 1, 2001 – January 1, 2006
AI Technical Lead
December 1, 2019 – Present
Uber
AI Research Resident
June 1, 2018 – October 1, 2019
San Francisco Bay Area
Quora
Machine Learning Engineer
September 1, 2017 – May 1, 2018
Mountain View, CA
Silicon Valley Data Science
Senior Data Scientist
February 1, 2017 – July 1, 2017
Silicon Valley Data Science
Data Scientist
June 1, 2015 – January 1, 2017
Silicon Valley Data Science
Data Analyst
January 1, 2015 – June 1, 2015
RiceRunner
Product Design Consultant
August 1, 2011 – June 1, 2012
Stanford, CA
Stanford University
Design thinking facilitator
July 1, 2011 – June 1, 2012
Los Salseros De Stanford
Director
September 1, 2008 – June 1, 2009
Stanford, CA
Stanford University
Ph. D. Candidate
September 1, 2006 – August 1, 2014
Intel
Engineering Intern
January 1, 2004 – June 1, 2004
Fort Collins, CO
RiceRunner
January 1, 2011 – June 1, 2012
RiceRunner is a student design team with a social mission: to create a low-cost fertilizer applicator for subsistence rice farmers in Cambodia.
Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization
Coursera
June 24, 2026 – Present
Structuring Machine Learning Projects
Coursera
June 24, 2026 – Present
Cultural Fit Analysis
The candidate's diverse experience, ranging from academic research to industry roles at major tech companies (Google, Uber, Quora), indicates adaptability and a broad perspective. Involvement in projects like RiceRunner and leading a dance group suggests a well-rounded individual with interests beyond core technical work, potentially contributing positively to team dynamics. The long tenure at Silicon Valley Data Science (across multiple roles) shows commitment and growth within an organization. The target role of ML Engineer aligns well with the candidate's recent and extensive experience in AI/ML.
Soft Skills & Operational Fit
The candidate's experience as a Design Thinking Facilitator and Product Design Consultant suggests strong problem-solving, collaboration, and user-centric design skills. Leadership roles (AI Technical Lead, Director of Los Salseros De Stanford) indicate strong organizational and team management capabilities. The detailed descriptions of past projects and roles demonstrate good communication skills in a professional context.