Curriculum Vitae
Education
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Georgia Institute of Technology
Master of Science, Computer Science
2021 - 2025Specialized in computing systems. My coursework involved information security, computer networks, network science, high-performance computing, operating systems, and deterministic optimization.
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University of California, Santa Barbara
Bachelor of Science, Applied Mathematics
2019 - 2021Completed a minor in Spatial Studies through courses on geographic information systems, topology, and differential geometry. Most of my coursework revolved around matrix analysis, numerical analysis, and operations research. I also had the chance to participate in the UCSB math department's directed reading program under Garo Sarajian, where we covered topics in number theory and elliptic curve cryptography for a brief six months. I later worked under Mike Johnson on topics in hydrology and GIS, particularly on machine learning models for predicting Manning's n.
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Merced College
Computer Science and Mathematics
2016 - 2019I started my education at this community college. I was part of the computer science club run by Kathy Kanemoto.
Experience
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Site Reliability Engineer II
January 2026 – Present -
Software Engineer
April 2023 – January 2026 -
Expeditionary Communications
US Air Force Reserve
October 2016 – October 2024For my entire time in the reserve, I served at the 23rd Combat Communications squadron where my AFSC switched from
3D0X2to1D7X1Bto1D7X1W. However, the entire time I was working in expeditionary comms. I also fulfilled additional job duties as a Trusted Key Agent and COMSEC Responsible Officer. I finished my time at the rank of Staff Sergeant (E-5). I sometimes refer to this experience with the titles: Network and Systems Administrator, Cyber Systems Operations, or Cyber Defense Systems Operations. -
Data Engineer
April 2021 – May 2022 -
Research Assistant
September 2020 – June 2021
Selected Publications
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Building occupancy type classification and uncertainty estimation using machine learning and open data
Tom Narock, J. Michael Johnson, Justin Singh-Mohudpur, Arash Modaresi Rad
Environmental Data Science, January 2025 -
Enhancing Synthetic Rating Curve Development Through Empirical Roughness Built for Hydrofabric Datasets
J. Michael Johnson, Damilola Eyelade, Justin Singh-Mohudpur, Arash Modaresi Rad, James Coll, Ryan Spies, Lilit Yeghiazarian
Water Resources Research, March 2024 (Preprint) -
Knowledge graphs to support real-time flood impact evaluation
J. Michael Johnson, Tom Narock, Justin Singh-Mohudpur, Doug Fils, Keith C. Clarke, Siddharth Saksena, Adam Shepherd, Sankar Arumugam, Lilit Yeghiazarian
AI Magazine, March 2022