Ivan Podmogilnyi
Angestellt, Computer Vision Researcher and Engineer, DriveCast
Tiflis, Georgien
Über mich
Junior+/Middle. A particular level of expertise in: - C++/Python - C++ Standard Template Library - Algorithms and Data Structures - SLAMs - Non-Linear Least Squares (NLLSQ) in 3D Mapping / SLAMs - Libs for NLLSQ: google-ceres - SLAM Kalman Filter, EKF - Numerical Linear Algebra in SLAMs - 3D Visualizations via Pangolin and ROS RViz. Familiar with: - C programming language - SOLID principles and Design Patterns - Eigen3 - C++/Fortran Concurrency: OpenMP - ROS - SLAM related libs: g2o, DBoW2 and OpenCV - Communications via MQTT, UDP - Tensorflow / Pytorch - CMake for large-scale projects - Bash scripting - Neural networks e.g. CNN, GAN - Signal Processing - Sensor Calibration - Analytical Geometry - Theory of Probability Github: https://github.com/mascomen4
Werdegang
Berufserfahrung von Ivan Podmogilnyi
Bis heute 2 Jahre und 11 Monate, seit Aug. 2021
Computer Vision Researcher and Engineer
DriveCast
Added GPS fusion in OpenVINS. Researched state-of-the art SLAM systems: Open-VINS, VINS-Fusion, ORB-SLAM3, BASALT. Integrated them and tested the quality of positioning with metrics and plots. Proved that a paper is wrong about bad real-time position extraction in ORB-SLAM3. Implemented visualizations of AR objects using recovered localization. Wrote scripts for testing processes automation, building automation, multi-platform building. Implemented data transfer systems with NDI and GStreamer.
4 Monate, März 2022 - Juni 2022
IT Department Intern
Peoples' Friendship University of Russia
1 Jahr und 5 Monate, Jan. 2019 - Mai 2020
Mathematics and Computer Science Teacher
Profi.ru
4 Monate, Jan. 2019 - Apr. 2019
Unity Developer
CommON
Sprachen
Russisch
Muttersprache
Englisch
Fließend
Deutsch
Grundlagen
Rumänisch
Gut