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Oleksandr – Python, PyTorch, Machine learning, experts in Lemon.io

Oleksandr

From Ukraine (GMT+3)

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Machine Learning EngineerSenior
Hire developer
6 years of commercial experience
AI
Fintech
Machine learning
Management
Manufacturing
Photography
Sales
AI software
Graphic software
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Oleksandr – Python, PyTorch, Machine learning

Meet Oleksandr, a seasoned Senior Machine Learning Engineer with more than 5 years of diverse work experience across various industries, including aviation, fintech, photo editing, and retail. Oleksandr excels in computer vision tasks such as object detection, segmentation, and classification. Skilled at developing complex business logic based on these areas. His outgoing and respectful nature contributes to productive and pleasant collaborations.

Main technologies
Python
5 years
PyTorch
5 years
Machine learning
5 years
Keras
3 years
Computer Vision
5 years
Tensorflow
3 years
Additional skills
NumPy
OpenCV
YouTrack
Pandas
PySpark
Data Science
Deep Learning
virtualenv
Flask
MySQL
Matplotlib
scikit-learn
JSON
Docker
Neural Networks
Git
Amazon EC2
YAML
AWS
REST API
Ready to start
ASAP
Direct hire
Potentially possible

Experience Highlights

Senior Machine Learning Engineer
Jul 2022 - Ongoing1 year 10 months
Project Overview

The project is an FMCG sales management system that helps to plan, execute, and monitor your sales.

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Responsibilities:
  • Made product architecture changes that improved the accuracy;
  • Participated in product future development planning;
  • Significantly decreased system deployment pipeline time;
  • Was in charge of researching, designing, and implementing Machine Learning algorithms for different tasks;
  • Made an automation of manual processes and optimization data pipelines, interpreting it in an interactive way;
  • Provided technology and scientific consulting performance;
  • Was communicating with business and technical stakeholders to identify solution requirements, business goals, and the expected outcome;
  • Made R&D and feasibility studies to share results and methodologies;
  • Was delivering rapid prototypes and proof of concepts that demonstrate real value.
Project Tech stack:
Python
PyTorch
NumPy
OpenCV
Deep Learning
AWS
Matplotlib
Computer Vision
Machine Learning Engineer
Jun 2021 - Jul 20221 year 1 month
Project Overview

This is photo editing software with a simple interface and deep learning models under the hood.

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Responsibilities:
  • Developed three photo editing features;
  • Built an infrastructure for conducting Machine Learning experiments;
  • Created custom model architecture for specific tasks;
  • Developed new and improving existing machine learning models used in the product;
  • Solved unique problems that do not have ready-made solutions;
  • Was responsible for data collection, training, evaluation, and making iterative improvements;
  • Designed and implemented complex algorithms.
Project Tech stack:
Python
PyTorch
Tensorflow
Keras
Computer Vision
Docker
OpenCV
Deep Learning
NumPy
AWS
Machine Learning Engineer
Jul 2020 - Jun 202110 months
Project Overview

KYC system for financial institutions that helps to pass all the checks online.

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Responsibilities:
  • Built the Machine Learning part of the project from scratch;
  • Participated in creating the initial project architecture;
  • Created custom algorithm based on OCR;
  • Made research and development of KYC solutions;
  • Contributed to the product concept planning from a data science and backend perspective;
  • Participated in DS activities planning;
  • Was in charge of Ad-hoc research, design, and implementation algorithms for KYC use cases.
Project Tech stack:
Python
PyTorch
Tensorflow
Keras
Docker
Flask
Computer Vision
OpenCV
NumPy
Pandas
PySpark
Deep Learning
Data Scientist
Nov 2018 - Jul 20201 year 8 months
Project Overview

The project was the system for plane surface inspection and defect detection.

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Responsibilities:
  • Changed product architecture and improved accuracy;
  • Implemented models from research papers;
  • Got insight into business problem, understanding the opportunity and value of analytical models for the customer;
  • Was in charge of collecting, transforming and preprocessing raw data to prepare it for analysis;
  • Was deriving descriptive statistics out of the preprocessed data;
  • Built statistical and probabilistic models;
  • Designed, developed, trained, and tested data mining, machine learning and artificial intelligence and algorithms;
  • Provided comparative research on different algorithms and models;
  • Implemented the model in a form that can be easily used by engineers, documenting its interfaces;
  • Delivered the model in a form that can be easily deployable and maintained.
Project Tech stack:
Python
PyTorch
Tensorflow
Keras
Flask
Docker
OpenCV
NumPy
Matplotlib
AWS
Deep Learning

Education

2021
Computer Science
Bachelor

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