Francesco Callari
Principal Engineer, Prime Air at Amazon
Greater Seattle Area United States
Summary
👤
Senior🎓
Top SchoolFrancesco Callari is a Principal Engineer at Amazon Prime Air with 11 years of hands-on experience building computer vision and deep learning systems for real-time airborne detection, tracking, and avoidance. His career bridges academia, startups, the movie industry (Industrial Light + Magic), and major tech firms like Google and Twitter, and he holds several patents alongside an Academy Scientific and Engineering Award. He leads teams delivering robust data pipelines and production-grade ML inference while keeping a researcher’s focus on algorithmic rigor and code quality. An active contributor to backend tools—evidenced by fixes to the well-known Scalding Scala API—he combines deep image-processing expertise with practical engineering discipline to ship safety-critical systems.
11 years of coding experience
19 years of employment as a software developer
M.S.E.E. Ph.D. Electronics Computer Science, M.S.E.E. Ph.D. Electronics Computer Science at Università degli Studi di PalermoPostdoctoral Fellow at Center for Intelligent Machines Computer Vision, Postdoctoral Fellow at Center for Intelligent Machines Computer Vision at McGill University
Stackoverflow
11,440reputation
897kreached
433answers
5questions
opencv
top-1%
computer-vision
top-1%
matlab
top-5%
image-processing
top-1%
augmented-reality
top-5%
image
top-5%
Github Skills (23)
opencv10
image-processing10
scala10
camera10
exception-handling10
computer-vision10
image9
augmented-reality9
matlab9
code-optimization9
java9
javas9
homography6
3d-reconstruction6
3d6
Programming languages (2)
Github contributions (5)
twitter/scalding
Sep 2014 - May 2016
A Scala API for Cascading
Role in this project:
Backend Developer
Backend DeveloperContributions:7 commits, 1 PR, 1 comment in 1 year 8 months
Contributions summary:Francesco primarily focused on fixing and improving the codebase's consistency and correctness. This involved addressing exception handling, ensuring the proper type of exceptions were thrown in critical areas of the `scalding-commons` module. The user also cleaned up code, optimizing and clarifying components like the `VersionedStore` class. Additionally, they made a minor correction to a comment within the `LookupJoin.scala` file, demonstrating a focus on code quality.
apiscalafs2cascadingscala-native
fgcallari/pycheckerboard
Mar 2018 - Jul 2019
Contributions:3 commits, 2 pushes, 3 branches in 1 year 4 months
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