Company
Our team has a wealth of experience in the field of software development and IT project management. We take pride in never losing sight of our customers' goals and attach great importance to designing projects from the outset in such a way that both time and budget constraints are met. Some of our employees contribute remotely from other European countries, but most of us work in our modern office in the heart of Berlin.
Our team
Michael Borinsky (PhD)
External Advisor
Intermediate
openCV, TensorFlowExpert
C++, Python, Mathematical Statistics, SciPy, Computer Vision, OpenGLWhile studying physics at HU Berlin, Michael was already contributing to CERN’s Root data analysis framework. With his coding abilities and his mathematical skills obtained during his dissertation in quantum physics, he supports the machine learning team.
William Clemens (PhD)
Intermediate
Numerical Optimization, Computer Vision, Shell Scripting, RExpert
Cuda, C++, Torch, TensorFlow, Deep Learning, Python, Mathematical StatisticsWill developed his mathematical and coding skills during his studies in theoretical physics at Warwick and Cambridge Universities. Before joining dida, he did his PhD in string theory and quantum chromodynamics at the University of Southampton. Currently, Will specializes in computer vision.
Johan Dettmar
Intermediate
Keras, TensorFlow, PyTorch, SciPy, LinuxExpert
Python, NumPy, Pandas, C#, MySQL, JavaScriptAfter a decade long career as a full-stack web developer, Johan decided to switch fields and delve into data science. To ease the transition, Johan decided to pursue a Physics degree at TU Berlin, with minors in mathematics, probability theory and machine learning. He now applies his new found knowledge together with his project management experience at dida.
Ewelina Fiebig
Intermediate
Python, Pandas, NumPy, SciPyExpert
R, Stochastics and Probability Theory, Mathematical Optimization and Modelling, Nonparametric StatisticsAfter her studies of mathematics (TU Gdansk, Poland) and statistics (HU Berlin), Ewelina is currently finishing up her PhD at TU Berlin in the field of nonparametric statistics. Her research work involves numerical simulations for optimal hyperparameter selection in statistical learning algorithms. Being naturally attracted to problems requiring mathematical skills, Ewelina is part of the machine learning team. Previously she worked as risk analyst in a global financial institution.
Astrid Gansekow
Acting as the point of contact among executives, employees, clients and other external partners, Astrid is responsible for managing the information flow at dida. After some years as an Executive Assistant in the software sector she’s supporting us with her experienced organizational and accounting skills.
Max Glass
Intermediate
PHP, Electron, Angular, Java, SQL, Python, C#Expert
HTML, Sass, UI, UX, JavaScript, vue.jsMax makes sure that users are able to interact intuitively with our software products. As frontend developer/UX designer in one, he constantly strives to combine clean designs with uncompromising functionality.
Fabian Gringel
Intermediate
Java, Python, NLPExpert
Mathematical Modeling, Optimization, Physical SimulationsDue to his studies of mathematics and philosophy (HU Berlin, Uni Bochum) combined with his interest in foreign languages, Fabian is naturally attracted to projects in the field of computational linguistics. Before joining dida, Fabian dealt with physical simulations at Max Planck Institute for iron research and at TU Berlin.
Robert Heesen
Basic
Python, SQLRobert is responsible for translating customer needs into software written by our Machine Learning experts. He is also responsible for Marketing and Sales. In the past ten years after his studies at HHL Leipzig and University of Maastricht, he led business units in various digital companies (e.g. Axel Springer).
Philipp Jackmuth
Intermediate
NumPy, SciPy, RExpert
Python, SQL, Pandas, Data Analysis, Regression ModelsPhilipp advises our customers on which processes to automate. He makes sure that the value-add of the project materializes as planned. Before founding dida, the statistician (TU Berlin) was part of the management team which grew Beko Käuferportal GmbH from a small startup to 300+ employees.
Nelson Martins (PhD)
External Advisor
Intermediate
Python, PyTorch, Reinforcement LearningExpert
Computer Vision, Image processing & segmentation, openCV, C++, TensorFlowDuring his PhD in computer science at the University of Porto he co-authored various papers in the field of image processing. As an external consultant he is our go-to guy when it comes to pattern recognition in any kind of image data.
Lorenzo Melchior
Intermediate
TensorFlow, C, C++, Java, RExpert
Python, PyTorch, NumPy, Pandas, LinuxDuring his studies in mathematics and computer science [FU Berlin], Lorenzo found his passion for machine learning and statistics. He is experienced in image recognition, regression problems and in working with time series data. His dev-ops skills earn him regular praise by his collegues.
Mattes Mollenhauer
External Advisor
Intermediate
Computer Vision, Signal Processing, Optimal ControlExpert
Python, C++, Applied Probability Theory, Deep Learning, Software Engineering, Nonparametric ModelsAfter his studies of mathematics (FU Berlin), Mattes is currently pursuing his Phd doing research on machine learning models for time series problems in physics and signal processing. He has been involved in several large AI projects and is experienced in transforming recent research results and experimental solutions to production software.
Lorenz Richter
Intermediate
R, non-convex optimization, Computer VisionExpert
Statistical Learning Theory, Deep Learning, Python, Mathematical Statistics, Julia, TensorFlowWith an original focus on stochastics and numerics (FU Berlin), the mathematician has been dealing with deep learning algorithms for some time now. Besides his interest in the theory, he has practically solved multiple data science problems in the last 5 years. Lorenz leads the machine learning team.
Lovis Schmidt
Intermediate
PyTorch, Keras, TensorFlow, C++, OpenSQL, ABAPExpert
Python, SciPy, NumPy, PandasDuring his studies in mathematics at the TU Berlin, Lovis concentrated on stochastics and numerics, which brought him to the field of Machine and Deep Learning. He has worked in an IT consultancy where he gathered experience in software development and testing. Now he is using his mathematical knowledge and programming skills at dida.
Konrad Schultka (PhD)
Intermediate
NLP, Computer Vision, Optimization, TensorFlowExpert
Probability Theory, Python, Deep Learning, PyTorchKonrad cultivated his mathematical modeling skills while studying at HU Berlin. A graduate scholarship from Berlin Mathematical School led him to investigate the mathematical foundations of quantum fields. After transitioning from the quantum to the classical world, his interests have shifted to the analysis of probabilistic models and deep neural networks.
Tobias Sterbak
External Advisor
Intermediate
Speech Recognition, DevOps, Natural Language Generation, Docker, SparkExpert
Python, Keras, TensorFlow, NLP, PyTorch, Software Architecture, SpaCy, NLTkAfter some years in the software industry, Tobias decided to go into consulting. He holds a degree in pure mathematics from HU Berlin. Tobias is experienced in deploying machine learning models into production and he advises us in all things concerning natural text data.
Petar Tomov (PhD)
Intermediate
Java, NLP, Computer Vision, Reinforcement LearningExpert
Python, ABAP, TensorFlow, Complex Dynamical SystemsAfter his studies (LMU München) and PhD (HU Berlin) in theoretical physics, Petar worked for several years as an IT consultant with projects at different DAX companies. In the last years he developed his passion for machine learning and specialized in this field. Petar is supporting the machine learning team as a developer and project manager.
Frank Weilandt (PhD)
Intermediate
Deep Learning, Keras, NLP, Computer VisionExpert
C++, Python, Topological Data AnalysisAfter studying mathematics at the University of Bonn, Frank used Python and C++ for data analysis in several research groups: For computer vision at a Fraunhofer Institute in Sankt Augustin, during his PhD studies about the numerical simulation of dynamical systems in Cracow, Poland, and as a Post-doc for topological data analysis in Bremen. Having taught programming in Polish, his next challenge is teaching computers to understand language.
Matthias Werner
Intermediate
Sequence Alignments, Markov-Chain-Monte-Carlo, Computer VisionExpert
C++, C, Python, Reinforcement Learning, Bayesian Deep LearningDuring his studies of physics in Oldenburg and Berlin, Matthias cultivated an active interest in computer science. He worked with DNA alignments and molecular dynamics simulations at GRIB in Barcelona, worked in C++ development at FU Berlin and is doing research in reinforcement learning and Bayesian deep learning.
Team
Expert
Machine Vision, NLP, Algorithms, OptimizationFurther support is provided by freelancers, phd’s and post-docs from the fields of mathematics, physics and computer science. This allows to cover a wide range of machine learning topics and to offer our clients state of the art software solutions.