Mike Sheffler
Senior Staff Analyst at Toyon Research Corporation
Santa Barbara, California, United States
Summary
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Rockstar🎓
Top SchoolMike Sheffler is a Senior Staff Analyst and applied mathematician with over 8 years of focused experience designing PNT, signal processing, and ISR algorithms for government customers. He combines deep expertise in estimation theory, GNSS and inertial navigation, array and radar processing, and advanced video georegistration to deliver custom software and hardware solutions that interpret diverse sensors and phenomena. At Toyon Research he has progressed from analyst to senior staff, translating theoretical methods—factor graphs, smoothing/mapping, and oscillator/sensor modeling—into production-capable systems. Mike is also an active contributor to GTSAM, helping maintain and adapt smoothing and mapping examples and tests for broader architectures, underscoring his practical experience with factor-graph tooling. His background in long-range population and economic modeling and earlier network and systems work gives him a rare blend of mathematical rigor and systems-level engineering judgment. Based in Santa Barbara, he thrives on turning complex mathematical concepts into robust, mission-ready implementations.
8 years of coding experience
2 years of employment as a software developer
Bachelor Of Science, Mathematics, Computer Science, Bachelor Of Science, Mathematics, Computer Science at Southern Oregon UniversityMaster of Science (MS), Mathematics, Master of Science (MS), Mathematics at Claremont Graduate University
English, German
Stackoverflow
11reputation
2kreached
1answer
0questions
Github Skills (15)
c-language10
robotics10
cprogramming-language10
slam10
testing9
linear-algebra9
data-structure9
algorithm9
data-structures9
algorithms9
data-serialization8
serialization8
matlab7
cmake7
temperature6
Programming languages (2)
Github contributions (3)
borglab/gtsam
Jan 2018 - Feb 2022
GTSAM is a library of C++ classes that implement smoothing and mapping (SAM) in robotics and vision, using factor graphs and Bayes networks as the underlying computing paradigm rather than sparse matrices.
Role in this project:
Back-end Developer
Back-end DeveloperContributions:6 reviews, 38 commits, 9 PRs in 4 years 1 month
Contributions summary:Mike's contributions primarily involve integrating and updating various example code implementations within the GTSAM library. These changes include merging updates, fixing scope issues, and adapting calling conventions within the existing codebase. The user also focuses on serialization fixes and adapting tests for improved functionality, including the addition of test cases and the adjustment of existing ones. This suggests a focus on maintaining the library's functionality and ensuring its proper operation with different architectures.
smoothingsparsec-plus-plushierarchicalpattern-recognition
mikesheffler/gtsam
Jul 2020 - Feb 2022
GTSAM is a library of C++ classes that implement smoothing and mapping (SAM) in robotics and vision, using factor graphs and Bayes networks as the underlying computing paradigm rather than sparse matrices.
Contributions:9 pushes, 6 branches in 1 year 7 months
smoothinghomographysparsec-plus-plushierarchical
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