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Computer Vision Engineer at Syngenta Crop Protection
Senior Machine Learning Scientist with 8+ years of experience designing, deploying, and operationalizing production computer vision and ML systems. Ph.D. in Machine Learning with deep expertise in algorithm development, weakly-supervised learning, and MLOps. Proven track record delivering mission-critical models for commercial satellite platforms and U.S. government agencies (Army, Navy). Strong cross-functional communicator with experience mentoring engineers, collaborating with stakeholders, and owning models end-to-end, translating research into deployed capability with measurable operational impact.
University of Florida
Doctor of Philosophy - PhD, Electrical Engineering, Machine Learning and Pattern Recognition
January 1, 2017 – January 1, 2022
Oklahoma State University
Bachelor of Science in Electrical Engineering, Electrical Engineering and Computer Science
January 1, 2015 – January 1, 2017
Missouri University of Science and Technology
Electrical Engineering and Computer Science
January 1, 2013 – January 1, 2014
Syngenta Group
Computer Vision Engineer
May 1, 2026 – Present
Greater Philadelphia · Remote
Orbital Sidekick
Senior Machine Learning Scientist
August 1, 2022 – January 1, 2026
San Francisco, CA · Remote
Office of Naval Research
Research Staff
August 1, 2020 – July 1, 2022
University of Florida
Principal Graduate Researcher, Machine Learning and Sensing Lab
August 1, 2020 – July 1, 2022
University of Florida
Supervised Teacher
August 1, 2018 – May 1, 2019
U.S. Army DEVCOM C5ISR Center
Research Staff
August 1, 2018 – August 1, 2020
U.S. Army DEVCOM C5ISR Center
Research Staff
August 1, 2017 – August 1, 2018
University of Florida
Doctoral Dissertation Researcher, Machine Learning and Sensing Lab
January 1, 2017 – August 1, 2022
OGE Energy Corp
System Protection and Controls Engineering Intern
May 1, 2016 – August 1, 2016
Oklahoma City, Oklahoma Area
OGE Energy Corp
Distribution Engineering Intern
May 1, 2015 – August 1, 2015
Oklahoma City, Oklahoma Area
Cultural Fit Analysis
The candidate's background is heavily rooted in academic research and defense-related projects, followed by a role in a satellite data company. While the technical skills are highly relevant to a Data Analyst role, the specific focus has been more on Machine Learning Scientist/Engineer roles. The transition to a pure Data Analyst role would require assessing their interest and experience in broader data analysis, reporting, and business intelligence aspects beyond ML model performance. The diversity of projects (defense, satellite imagery, academic research) shows adaptability, but the direct alignment with typical corporate data analyst functions needs further exploration. The experience in teaching and advising suggests a collaborative and knowledge-sharing mindset.
Soft Skills & Operational Fit
The candidate's experience as a Principal Graduate Researcher and Supervised Teacher at the University of Florida, along with leading development teams at Orbital Sidekick, indicates strong leadership, mentorship, and communication skills. Their presentations at conferences and to government officials suggest effective stakeholder communication. The descriptions of collaborating with engineering and product teams highlight teamwork and operational fit for cross-functional environments. The candidate's ability to manage multiple projects with shifting priorities as an intern also points to good organizational and adaptability skills.