Vincent Beraudier
Data And AI (watsonx.ai) Software Development And Architecture.
Nice, Provence-Alpes-Côte d'Azur, France
Summary
👤
Senior🎓
Top SchoolVincent Beraudier is a seasoned Data & AI software architect and engineering leader with two decades of experience building optimization, analytics and cloud AI capabilities, currently shaping watsonx.ai at IBM. He combines deep mathematical optimization expertise (CPLEX, OPL) with hands-on API/SDK design and multi-language engineering (C++, Python, JNI, Scala) to deliver scalable ML and decision-optimization products for both cloud and on-premise environments. Vincent has led cross-continental teams and programs, launching open-source packages like docplex and doopl that bridge industrial solvers with the Python data science ecosystem. Known for translating complex research into developer-friendly APIs and cloud deployments, he also focuses on synthetic data, privacy and quality metrics for generative workflows. Colleagues rely on him for critical production support, roadmap definition and pragmatic architecture that integrates heterogeneous technologies.
10 years of coding experience
24 years of employment as a software developer
Master’s Degree Computational fluid dynamics., Master’s Degree Computational fluid dynamics. at Grenoble INP - UGA
Stackoverflow
1reputation
0reached
2answers
0questions
Github Skills (20)
docplex10
solve10
logistics9
optimization-methods9
multi-objective-optimization9
cplex9
python-bindings8
optimization8
simulated-annealing8
sat-solver8
optimisation8
opl8
gurobi8
operations-research7
python7
Programming languages (5)
Github contributions (5)
IBMDecisionOptimization/docplex
Nov 2022 - Aug 2024
IBM Decision Optimization Modeling for Python
Contributions:2 releases, 1 review, 4 PRs in 1 year 8 months
cplexpythondecisionpython-bindingscplex-optimization-solver
IBMDecisionOptimization/doopl-examples
Sep 2018 - Jun 2022
IBM OPL Connector for Python
Contributions:1 review, 3 commits, 1 PR in 3 years 9 months
connectorpythonibmopl
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