Alexander Efitorov

Experience

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  Moscow State University

  Jun 2013 - Jun 2022

  Conducted academic research of machine learning methods in scientific applications in various fields:- Develop classification models on the neuroscience data (fMRI, EEG) to explore the human mental state phases (pySpark, python)- Designed and evaluated process of human pose data acquisition by wearable sensors (Qualisys, Xsens) + synchronized video stream; fine tuning pose detection DL models for collected datasets (OpenCV)- Develop statistical models for spectroscopy (IR/Raman) databases (Tensorflow, sklearn)- Developed and evaluated a prediction models for time series of the cosmic observations (keras, sklearn, SQL)- Applied Chemometrics methods for computation of energy characteristics of molecules in liquids (R language, MCR-methods)- Developed advanced signal processing methods for pattern recognition of data observed from semiconductor sensors in natural air (R, statistical shape analysis)Metrics:- Wrote 35+ Scopus publications (11 H-index)- Participated in 15 research scientific projects (sci grants funding)- Developed and taught 2 university courses in Machine learning (R, python, TensorFlow, pyTorch)- 1 patent (WO2019132740A1) Show less

  • Researcher

    Jun 2017 - Jun 2022

  • Software Engineer

    Jun 2013 - Jun 2017
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  National Research Nuclear University MEPhI (Moscow Engineering Physics Institute)

  Oct 2016 - Dec 2018

  Software Engineer

  - 3D fMRI and EEG data processed to reduce noise and motions; (python, mathlab; frameworks: SPM, AFNI) - Develop CS-based models to classify human mental state based on brain activity observations (python)- Explored the correlations (wavelet transformation, phase synchronization) in EEG-signals (TensorFlow)

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  Phantom Auto

  Mar 2018 - Aug 2022

  Machine Learning Engineer

  - Developed software for embedded hardware (Google Coral TPU, jetson nano) for data collected from the street autonomous bots (Tensorflow, TensorRT)- Developed video quality analyzing system: x30 speed up of the pipeline (by motion vectors extraction directly from ffmpeg, C++)- Developed and compared perception systems for obstacle avoidance and localization based on visual odometry (ROS, OpenCV, PCL; sensors: Intel Realsense t265+d435, ZED2, 2D-lidars, IMU, UWB)- Built geospatial data analytics pipeline for LTE networks analysis on data flow observing in real time (InfluxDB, pySpark, Databricks, Snowflake, SQL) Show less

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  Philips

  Jan 2021 - Nov 2022

  Data Scientist

  Development and evaluation software for Medical Imaging (X-Ray) for disease detection & localization (python, Slurm, MLFlow)Directed company’s key research areas in CS-based diagnostics. Developed Intellectual Property (solutions, patents, papers) analytics and strategy for the Value Stream. Managing and aligning stakeholders.Lead and managed a team of engineers on MVP code prep to transfer to the R&D Business unit

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  NVIDIA

  Jan 2023 - now

  Senior Software Development Engineer

  Robotics, Visual Odometry, SLAM, C++