Jared Dam
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
Human-Systems Engineer | AR/VR | Humam-Autonomy Teaming | UAV Swarms | Aviation Enthusiast
An experienced researcher with a demonstrated history in research design and statistical analysis. Skilled in human factors engineering, data analysis, research design, artificial intelligence, and cognitive task analysis. A private pilot with a master's degree in Industrial and Organizational Psychology from the University of West Florida and researcher of explainable artificial intelligence (XAI) at the Institute for Human and Machine Cognition (IHMC). Currently a Ph.D. candidate in Human Factors Engineering at Virginia Tech.
Virginia Tech
Doctor of Philosophy - PhD, Human Factors Engineering
January 1, 2018 – January 1, 2021
University of West Florida
Master’s Degree, Industrial and Organizational Psychology
January 1, 2015 – January 1, 2017
University of West Florida
Bachelor’s Degree, Psychology
January 1, 2011 – January 1, 2015
Naval Surface Warfare Center Dahlgren Division
System Engineer
August 1, 2023 – Present
Dahlgren, Virginia, United States · On-site
Virginia Tech
Graduate Research Assistant
August 1, 2018 – August 1, 2023
IHMC
Artificial Intelligence Researcher
March 1, 2017 – August 1, 2018
Pensacola, Florida Area
University of West Florida
Graduate Admissions Assisstant Coordinator
August 1, 2015 – September 1, 2017
Building and Deploying Deep Learning Applications with TensorFlow
June 24, 2026 – Present
Learning Python
June 24, 2026 – Present
Private Pilot
Federal Aviation Administration
June 24, 2026 – Present
TensorFlow 2.0: Working with Images
June 24, 2026 – Present
Agile Project Leadership
June 24, 2026 – Present
Remote Pilot (Drone)
Federal Aviation Administration
June 24, 2026 – Present
Getting Started With Music Theory
Coursera
June 24, 2026 – Present
Python Data Analysis
June 24, 2026 – Present
Cultural Fit Analysis
The candidate's background is heavily academic and research-oriented, with a focus on human factors and explainable AI. While this aligns with certain aspects of ML engineering, the lack of diverse industry projects or team-based software development experience might indicate a different cultural fit than a typical product-focused ML engineering team. The breadth of skills is primarily academic and theoretical, with some foundational technical certifications.
Soft Skills & Operational Fit
The candidate's academic background and research experience suggest strong analytical, problem-solving, and critical thinking skills. The role as Graduate Admissions Assistant Coordinator implies communication and organizational abilities. However, specific operational fit for a fast-paced, production-oriented ML engineering role is not explicitly demonstrated through project work or detailed job descriptions.