Frank Dellaert
Atlanta, Georgia, United States
Summary
🤩
Rockstar🎓
Top SchoolFrank Dellaert is a robotics and AI leader with 16+ years of experience bridging academic research and product-focused engineering as a professor at Georgia Tech and current Chief AI Officer at Verdant Robotics. He combines deep expertise in computer vision, SLAM, and optimization—contributing core algorithms to the widely used GTSAM library—with hands-on roles at Google AI, Facebook Reality Labs, Skydio, and Verdant to translate research into deployed systems. At Verdant he focuses on applying state-of-the-art vision and robotics to boost agricultural sustainability and productivity at scale. His background includes directing Georgia Tech’s Robotics Ph.D. program and pioneering algorithmic work on IMU preintegration and factor-graph optimization that underpins modern robot navigation. Known for moving between theory and practice, he often takes academic sabbaticals to help startups ship category-defining hardware and software. Based in Atlanta, he pairs a Carnegie Mellon Ph.D. with a habit of shipping mathematically rigorous, production-ready solutions.
16 years of coding experience
28 years of employment as a software developer
Burg. Ir., Electrical Engineering, Burg. Ir., Electrical Engineering at KU LeuvenM.Sc., Computer Science and Engineering, M.Sc., Computer Science and Engineering at Case Western Reserve UniversityPh.D., Computer Science, Ph.D., Computer Science at Carnegie Mellon UniversityHigh School, Latijn-Wiskunde, High School, Latijn-Wiskunde at jan-van-ruusbroeckollege
Github Skills (6)
algorithm10
algorithms10
nonlinear-optimization10
linear-algebra10
cprogramming-language9
c-language9
Programming languages (12)
Github contributions (5)
borglab/gtsam
Aug 2016 - Jan 2023
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:
Algorithm Developer & Optimization Engineer
Algorithm Developer & Optimization EngineerContributions:14 releases, 1353 reviews, 2610 commits in 6 years 6 months
Contributions summary:Frank primarily contributed to the development of mathematical algorithms within the GTSAM library, with a focus on optimization techniques. Their commits involved the implementation and improvement of core algorithms, specifically in the domain of linear algebra, and also included applying the methods in context of SLAM and IMU preintegration. The contributions included implementing and refining functionalities related to the Frobenius factors, testing various algorithms.
smoothingsparsec-plus-plushierarchicalpattern-recognition
dellaert/19F-4476
Aug 2019 - Aug 2020
Contributions:79 commits, 2 PRs, 68 pushes in 1 year
Find and Hire Top DevelopersWe’ve analyzed the programming source code of over 60 million software developers on GitHub and scored them by 50,000 skills. Sign-up on Prog,AI to search for software developers.