Nick Guletskii

I'm an applied machine learning researcher, algorithm developer, and software engineer with a background in mathematics.

Work experience (selected)

1. Machine Learning Researcher and R&D lead at Rapida Infrastructure

   2022–present Haifa, Israel 2022-present

   Develops novel Machine Learning, Computer Vision and Computational Geometry algorithms for infrastructure assessment and monitoring.

2. Teaching assistant at Belarusian State University

   2019–2022Minsk, Belarus

   Worked as a teaching assistant at the department of Functional Analysis and Analytical Economics at the faculty of Mechanics and Mathematics.

   1. 2021: Taught an "Intro to Machine Learning" class to international masters students in English (incl. lectures and labs).

   2. 2019-2022: Conducted seminars on Probability Theory, Mathematical Statistics and Operations Research.

3. Machine Learning Engineer & Statistical analyst at HiQo Solutions

   2018–2021Minsk, Belarus

   Performed end-to-end development of computer vision systems (object detection, instance segmentation, classification, and denoising), sound recognition systems, sentiment analysis systems; performed statistical modelling and analysis of tabular data. Ported models for inference on edge devices.

Articles

1. Multiplicative representations of Bruhat–Schwartz distributions on the additive group of p-adic numbers

   2022 Trudy Instituta Matematiki, Minsk, Belarus

Recent Posts

• Creating shared libraries for function hooking on Linux (lessons learned from building an OSD for OpenGL applications)

  Posted on:July 24, 2016 |  at 01:44 PM

  A list of tips on how to hook functions on Linux that I wish I had when creating GLXOSD, an OSD for OpenGL applications on Linux. There are many non-obvious problems that can arise while writing shared libraries meant for hooking API calls in various applications.