Skills

Mathematical Optimization, Machine Learning, and AI

Strong knowledge of algorithms and methods in combinatorial, global, and nonlinear optimization and machine learning (LP, QP, MILP, NLP, SDP). See SDP-S3VM, SRFLP-BB, AugmentedMixing.jl, s3vm-mixing-c
Expert in implementing algorithms for large-scale semidefinite programming (SDP) and integrating them into solvers. See AugmentedMixing.jl, s3vm-mixing-c
Experience writing efficient, hardware-aware C/C++ code using low-level linear algebra routines (BLAS, LAPACK). See s3vm-mixing-c, SRFLP-BB
Strong background in building and solving mathematical models, designing heuristics and randomized algorithms, and applying approximation methods. See SRFLP-BB, mastermind-solver, AugmentedMixing.jl
Worked with CPLEX, Google OR-Tools, Gurobi, JuMP, MOSEK, scikit-learn, SCIP. Used across projects on the Software page

Languages: C/C++, Java, Julia, Python
Algorithm engineering: design and analysis; benchmarking and profiling; time/space complexity
High-performance computing in C/C++: parallel programming and multithreading; POSIX threads; OpenMP; MPI; efficient data layouts and structures. See SRFLP-BB, s3vm-mixing-c, mastermind-solver
Development practices and tooling: testing and debugging; documentation; Git/GitHub; CI; Linux. See repositories on the Software page
Data and visualization: SQL (indexing design); matplotlib, seaborn, Plotly, Plots.jl, Makie, ggplot2, TikZ/pgfplots

German (native); English (fluent; working language for 7+ years); French (basic)
Professional presentation skills