Работал в 1 компании 4 года 6 месяцев
IT
Backend PHP (Magento 2) Developer
Ronis Business Tools
IT
4 года 5 месяцев
07.2019 - 12.2023
- Developed and maintained custom backend solutions for eCommerce websites using Magento 2, PHP, MySQL and JavaScript.
- Designed and integrated APIs for various third-party services, streamlining the functionality of the eCommerce platform.
- Managed websites configurations, troubleshooting issues, and ensuring robust performance and security.
Ключевая информация
I am a backend developer with 4 years of commercial experience, now want to switch into the field of ML/AI. I don't have professional experience in this field, but I have completed several personal ML/AI projects and ready quickly learn new technologies/domains.
Учился в 1 заведении
V. N. Karazin Kharkiv National University
Master of Applied Physics (Graduated with Honors)
Kharkiv, 2019
Владеет языками
Английский
средний
Украинский
свободно
Может проходить собеседование на этом языке
Может проходить собеседование на этом языке
Дополнительная информация
Комп'ютерні навички
ML/AI Projects:
- House rent price predictor. The project aims to predict apartment rent prices based on inputparameters using a dataset of Ukrainian rental announcements. Classical regression machine learning algorithms, including Linear Regression, Random Forests, Gradient Boosting, and XGBoost, were applied. The final model achieved an R2 score of 0.82 on the validation dataset. A simple web app was also created: https://ukrainianhouserentpricepredictor.streamlit.app
Code: github.com/Vladfsociety/house_rent_price_predictor - Custom neural network. Mini-library that implements a simple version of a feedforward neural network (FNN) and convolutional neural network (CNN) from scratch using Python and PyTorch.
Code: github.com/Vladfsociety/vladk-neural-network - Animal class predictor. Project contains implementations of various convolutional Neural Networks for animal classification task using PyTorch and TensorFlow. Best classifier (VGG16 pretrained on ImageNet PyTorch model) achieved 95% accuracy on validation dataset.
Code: github.com/Vladfsociety/animal_classification
Vlad
Vlad
ML/AI Engineer
Львов
полная занятость, неполная занятость, проектная работа
Характер работы: стажировка / практика, удаленная работа
Обновлено 1 месяц назад