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Head of Machine Learning at iVerify
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Machine learning leader working at the intersection of technology and society.
The University of Texas at Austin
Bachelor of Science (BS), Physics, Chemistry, Mathematics
N/A – Present
University of Oxford
Oxford Media Policy Summer Institute Certificate: Technology, Policy, and Democracy, Centre for Socio-Legal Studies and the Programme in Comparative Media Law and Policy
N/A – Present
The University of Texas at Austin
Lecturer
January 1, 2025 – Present
Austin, Texas, United States · Hybrid
iVerify
Head of Machine Learning
October 1, 2024 – Present
Austin, Texas, United States · Remote
Georgetown University
Adjunct Faculty
February 1, 2024 – Present
Washington, District of Columbia, United States · Remote
All Tech Is Human
Affiliate, Trust & Safety
November 1, 2023 – Present
Austin, Texas, United States · Remote
KUNGFU.AI
Principal Machine Learning Engineer
February 1, 2023 – June 1, 2024
Austin, Texas, United States · Remote
The Global Disinformation Index
Technical Advisor
June 1, 2022 – March 1, 2023
Austin, Texas, United States · Remote
Senior Security Machine Learning Engineer
June 1, 2022 – January 1, 2023
Austin, Texas, United States · Remote
The Global Disinformation Index
Senior Data Scientist
June 1, 2020 – June 1, 2022
Austin, Texas, United States · Remote
Yonder (acquired by PrimerAI)
Machine Learning Engineer
September 1, 2018 – June 1, 2020
Austin, Texas, United States · On-site
Accenture
Data Scientist
October 1, 2017 – August 1, 2018
Houston, Texas, United States · On-site
Julius-Maximilians-Universität Würzburg
Research Fellow
May 1, 2014 – August 1, 2014
Würzburg, Bavaria, Germany · On-site
The University of Texas at Austin
Research Assistant
January 1, 2013 – May 1, 2017
Austin, Texas, United States · On-site
The University of Texas at Austin
Teaching Assistant
August 1, 2012 – May 1, 2014
Austin, Texas, United States · On-site
Cultural Fit Analysis
The candidate's diverse experience across academia, startups (Yonder, KUNGFU.AI), large corporations (Accenture, Twitter), and non-profits (Global Disinformation Index, All Tech Is Human) demonstrates adaptability to various organizational cultures. Their involvement in ethical AI and disinformation research aligns with a culture that values social impact and responsible technology. However, the candidate's career trajectory appears to be moving towards senior ML/AI leadership and academic roles, which might not align with a typical Data Analyst career path. The breadth of experience is significant, but the direct alignment with a Data Analyst role, which often requires a different skill emphasis (e.g., SQL mastery, BI tools, specific domain knowledge for reporting), is not explicitly demonstrated in the provided data.
Soft Skills & Operational Fit
The candidate's experience as a lecturer and adjunct faculty, along with mentoring roles, suggests strong communication and leadership skills. Participation in cross-functional teams and client engagements indicates collaboration and adaptability. The focus on ethical AI and disinformation suggests a strong sense of responsibility and critical thinking. However, the target role is 'Data Analyst' while the candidate's experience is heavily skewed towards 'Machine Learning Engineer' and 'Data Scientist', which are typically more advanced and research-oriented roles. This might indicate an operational mismatch if the Data Analyst role is primarily focused on reporting and dashboarding rather than advanced modeling and research.