🇵🇭 🇩🇪

engineer

  • projects worked on involve

    • OLAP & real-time data streams

    • microservices and MLOps

    • optimization, adjoint methods, and automatic differentiation

    • parallelization for GPUs and HPC systems

    • numerical solvers for fluid dynamics and structural mechanics

    • renewable power and weather forecasting

  • Lead Machine Learning Engineer at Grab


    — previously—

  • — formal higher education —

    • Dr.-Ing. in Computer Science, magna cum laude, from TU Kaiserslautern / von Karman Institute for Fluid Dynamics

    • M.Sc. in Computational Engineering Science, mit Auszeichnung, from RWTH Aachen

    • B.Sc. in Computational Engineering Science from RWTH Aachen

    — certificates —

    • Nanodegree in Artificial Intelligence from Udacity

    • C/C++, Go, Python, Scala

    • SQL, Timescale, Redis, S3, Pinot

    • Airflow, Flink, Spark

    • OpenMP, MPI, OpenCL/CUDA, Slurm, Ray

    • Tensorflow, sklearn, Numpy, Numba, Pandas

    • Eigen, PETSc, SLEPc, CoDiPack, dco/c++

    • CI/CD, Docker, Kubernetes, GitHub/Lab, REST APIs

    • AWS, DigitalOcean, Google Cloud