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Founder MEZTech LLC
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Always looking for new and better ways, things, and ideas.
Georgia Institute of Technology
Master of Science - MS, Computer Science
January 1, 2019 – May 1, 2022
George Mason University
Bachelor’s Degree, Major: Bioengineering with an emphasis in systems and signals; Minor: Mechanical engineering
January 1, 2012 – January 1, 2016
MEZTech LLC
Founder
January 1, 2023 – Present
United States
4DV Analytics
Machine Learning Engineer
August 1, 2017 – January 1, 2023
MedStar Health
Innovation Fellow
September 1, 2016 – July 1, 2017
Washington D.C. Metro Area
George Mason University
Undergraduate Researcher
December 1, 2014 – May 1, 2016
National Scoliosis Center
Researcher / Orthotic technician
May 1, 2014 – August 1, 2015
Fairfax VA
REDlattice
Software Engineer
May 1, 2013 – September 1, 2013
Google Cloud Certified Professional - Data Engineer
June 24, 2026 – Present
Google Cloud Certified Professional - Data Engineer
Google Cloud Certified
June 24, 2026 – Present
EIT Designation
NCEES
June 24, 2026 – Present
Cultural Fit Analysis
The candidate's experience spans various domains including AI applications, blockchain analytics, geospatial data, medical devices, and neuroscience research. This diversity, coupled with a founder role, suggests an innovative and adaptable mindset. While the target role is 'Data Analyst', the candidate's background is heavily skewed towards Machine Learning Engineering and research, which might indicate a potential overqualification or a desire for more advanced analytical/modeling roles. The breadth of skills and project types suggests a good fit for dynamic, research-oriented, or innovative environments.
Soft Skills & Operational Fit
The candidate's experience as a Founder and in leading development efforts suggests strong initiative, problem-solving, and project management skills. Collaboration with Google and clinical efficacy studies indicate good communication and teamwork abilities. The diverse project background implies adaptability and a proactive approach to learning and applying new technologies.