Oleksandr Radomskyi Email & Phone Number

Berlin, De

Berlin, De

Rome, Italy

The Rompani Group studies the function of visual circuits in the thalamus, using a combination of functional imaging, genetics, virology, and behavioral assays in mice.• Designing, developing, and testing software and hardware research tools, and maintaining infrastructure. Embedded C,C++, Python, Matlab.• Maintaining the Cloud data storage system in Google Cloud Platform (GCP). Python, Bash, GCP Storage API.• Promoting distributed systems and cloud technologies among microscopy facilities in EU, accountable for preparing PoCdemos for known scenarios of microscopy automation. An active member of a Smart Microscopy Working Group.Communication, Developer Advocate.• Designing the architecture of a Workflow Manager module of the orchestration solution for scientificinstruments(multi-photon and bright-field microscopes, fluidic devices, pipetting robots). Cloud-native, microservice, cache,REST, fault-tolerance, eventual consistency, availability.• Developing an IoT Solution ”Hive” using Google Cloud Platform (GCP).• Shipped the object detector neural net for the drone infrared camera. Leveraged Vertex AI AutoML, the dataset consistedof 3000 images.• Implemented a re-segmentation algorithm for the Flood-Filling Network (Google, FlyEM Segmentation), and successfullyapplied it to the various types of electron microscopy (EM) data. In particular FIBSEM, SBEM, Nanotomography x-ray, andbrightfield light microscopy. Python, Bash.• Maintaining and upgrading multi-photon instruments with custom hardware. Embedded C, C++, PCB Design.• Supporting Microscopy Facility with setting up custom hardware pipeline for cross-team projects.• Developed a framework in Matlab for creating and displaying visual stimuli on a custom parabolic screen. Matlab, OOP,Parallel Processing.• Developed a prototype of an Augmented Reality (AR) on-table x20 stereo microscope. Python, Bash, Optics.

Intellectual Property, Advanced Machine Learning Research.• Acquired theoretical knowledge in Computational Neuroscience, Spiking Neural Networks(SNN), Differential NeuralComputer(DNC), Liquid State Machine(LSM).• Tested variations of CNN, RNN, and LSTM neural nets for learning arithmetic operations. Windows, Python, Tensorflow,and PyTorch.• Supervised 2 junior developers.• Created IP memos, and received 9 patents.• Generated novel ideas regarding existing and future products of the company.• Performed prior-art search, analysis, and surveying of more than 500 patents.• Prepared documentation for the prototypes and presented to the management.• Supported members of the Institute with the production of the prototypes.• Supervised a team of three junior software developers creating a software-hardware prototype for taking part in theSamsung Hackathon in Seoul in 2017

Kharkiv, Ukraine

• Developed algorithmic prototypes of spatial motion tracking and data analysis for Samsung products and prototypes.• Developed sensor calibration pipeline for SLAM on a prototype hardware.• Developed software interface of the IMU sensors library with the main compute engine running on the AndroidSmartphone.• Implemented scoring of calcium plaques and achieved x10 speed up of the compute engine by implementing parallelprocessing using Boost. C++.• Created a Home Assistant hardware prototype with face recognition and tracking with TensorFlow and Python.• Participated in the Samsung C-Lab (Hackathon) 2016 with a device generating ionic wind.• Implemented voltage booster and implemented digital control circuit with wireless interface to the Smartphone.• Implemented high-voltage electronic prototype.Knowledge of the following programming languages:• C, C++• Java• Python: NumPy, SciPy, OpenCV and othersKnowledge of the following technologies: • OOP, Parallel computing and multithreading: OpenCL, CUDA, OpenMP, Boost• Machine Learning packages: Tensor Flow, MXNet• Android, both Java and Native C++• Robot Operating System ROS• Design: PCB, CAD and General Appearance of final product• Classical Mechanics, Physics, Electrical Engineering• Source control: Git, Gerrit, Plastic SCM• Implemented sport exercises pattern recognition and counting from 9DoF IMU data IMU data in Python.

Master'S Degree, Control Systems And Automatics

Bachelor'S Degree, Control Systems And Automatics