Baptiste Wicht
Senior Software Engineer at VERISIGN
Fribourg - Freiburg, Fribourg, Switzerland
Summary
🤩
Rockstar🎓
Top SchoolBaptiste Wicht is a senior software engineer based in Fribourg, Switzerland, with over 15 years of experience making C++ systems faster and more reliable. He holds a Ph.D. in computer science with a focus on machine learning and has blended that research background into high-performance network and DNS engineering at VeriSign. Deeply versed in compiler theory, OS-level performance, and low-latency C++ design, he also contributes to open-source projects such as the widely-used cxxopts CLI parser and a C++ deep learning library where he added parallel and convolutional support. His career bridges research and production—investigating profile-guided optimizations at Berkeley before building high-throughput DNS services—so he’s as comfortable with algorithmic theory as with shipping mission-critical code. Colleagues value his steady focus on measurable performance gains and his knack for restoring and hardening tests that keep complex systems robust.
15 years of coding experience
16 years of employment as a software developer
Bachelor of Science, Computer Science, Average grade: 5.5 / 6, Bachelor of Science, Computer Science, Average grade: 5.5 / 6 at University of Applied Sciences of FribourgDoctor of Philosophy in Computer Science, Computer Science, Doctor of Philosophy in Computer Science, Computer Science at Université de Fribourg - Universität FreiburgBachelor thesis, Computer Science, Bachelor, Bachelor thesis, Computer Science, Bachelor at Lawrence Berkeley National LaboratoryCFC, Computer science, Average grade: 5.5 / 6, CFC, Computer science, Average grade: 5.5 / 6 at Ecole professionelleMaster of Science, Computer Science, Average grade: 5.5 / 6, Master of Science, Computer Science, Average grade: 5.5 / 6 at HES-SO University of applied Science
French, English, German, Chinese
Stackoverflow
7,583reputation
413kreached
63answers
94questions
Github Skills (18)
c-language10
convolutional-neural-networks10
parse10
neural-network10
option-parser10
cprogramming-language10
algorithm9
algorithms9
regular-expression8
unit-testing8
deep-learning7
boost6
pointer6
metric6
github6
Programming languages (12)
Github contributions (5)
wichtounet/dll
Jan 2014 - Sep 2020
Deep Learning Library (DLL) for C++ (ANNs, CNNs, RBMs, DBNs...)
Role in this project:
Back-end Developer & ML Engineer
Back-end Developer & ML EngineerContributions:3656 commits, 9 PRs, 609 pushes in 6 years 9 months
Contributions summary:Baptiste primarily focused on developing and improving core functionalities within the deep learning library. Their contributions included the addition of parallel mode support with generators, and the implementation of convolutional support with generators within the library. They also addressed and restored unit tests to ensure the quality of the code.
cppdeep-learningcnnsdeep-learning-libraryanns
jarro2783/cxxopts
Oct 2014 - Feb 2015
Lightweight C++ command line option parser
Role in this project:Back-end Developer
Back-end DeveloperContributions:20 commits, 1 PR, 1 comment in 4 months
Contributions summary:Baptiste primarily contributed to the development of a C++ command-line option parser. Their work involved adding features such as include guards, support for alphanumeric and default options, and implicit values. Furthermore, they made modifications to the help functionality, ensuring it accurately reflects the available options, and improved the overall structure and flexibility of the parsing logic. The user's work is primarily focused on extending the library's feature set and improving its usability.
argvcppsubcommandsargparsegetopt
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