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AI | Machine Learning | Technical Fellow at Indeed
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
I work on language-model systems for open-ended problems. My work brings together agentic systems, simulation, principled evaluation, and human-computer interaction. Research interests include agent runtimes, evaluation, interactive environments, recommender systems, and post-training methods for reasoning, coherence, and memory management.
Western Michigan University
Master of Science (MS), Computer Science
January 1, 2012 – January 1, 2015
Western Michigan University
B.S., Computer Science, Mathematics
January 1, 2009 – January 1, 2012
Indeed.com
AI Technical Fellow
April 1, 2025 – Present
The University of Texas at Austin
Doctoral Researcher, AI
August 1, 2023 – December 1, 2025
Austin, TX · On-site
Indeed.com
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Atlas Wearables
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Zoetis
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Missouri University of Science and Technology
Undergraduate Researcher
May 1, 2010 – August 1, 2010
Rolla, Missouri
Western Michigan University
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January 1, 2010 – January 1, 2013
Kalamazoo, Michigan
Cultural Fit Analysis
The candidate demonstrates a strong cultural fit for an innovative, research-driven environment, evidenced by their doctoral research, publications, and roles at companies like Indeed and Amazon, which are known for their technical rigor. Their progression from Data Analyst to AI Technical Fellow and Doctoral Researcher shows a continuous learning mindset and ambition. The breadth of experience across different applications (recommender systems, wearable tech, hiring workflows) indicates adaptability and a diverse problem-solving approach. The long tenure at Indeed.com, progressing through multiple senior roles, suggests loyalty and the ability to grow within an organization.
Soft Skills & Operational Fit
The candidate's resume highlights leadership roles (AI Technical Fellow, Principal Data Scientist, Lead Data Scientist) and contributions to significant projects (taxonomy modernization, early LLM work), suggesting strong operational fit and leadership potential. The descriptions imply problem-solving, strategic thinking, and the ability to drive technical initiatives. However, without specific psychometric or communication test results, a direct assessment of soft skills like teamwork or stress handling is not possible.