Candidates 23
$900 / mo
≈ $10800 / year net
Python backend developer
Ukraine · Dnipro · 1.5 years of experience · Upper-Intermediate ·Published 22 April
Ukraine · Dnipro · 1.5 years of experience · Upper-Intermediate ·Published 22 April
I have worked on various projects, including those related to the Harvard CS50 course. One notable project involved developing a finance website that served as a prototype for buying, viewing, and selling stocks. Additionally, I worked on a prototype for an e-commerce website. In a commercial development setting, I contributed to the backend part of a website for a company.
One of my significant undertakings was the development of a social network prototype. This project aimed to create a platform for users to post content, read posts from others, and engage in activities such as liking posts. For the implementation, I utilized the Flask framework along with the concept of a Rest API.
$6500 / mo
≈ $78000 / year net
Machine Learning Engineer | MLOps | Data Scientist | Gen AI | LLMs
Ukraine · 7 years of experience · Upper-Intermediate ·Published 20 April
Ukraine · 7 years of experience · Upper-Intermediate ·Published 20 April
In the MLOps arena, I am proficient in tools such as AWS SageMaker and Kubeflow, demonstrating a strong grasp of the latest technologies in this field. Over the past year, I have focused on developing solutions based on Large Language Models (LLMs), further expanding my skill set.
Key Projects:
Image Enhancement: Utilizing advanced ML techniques to improve image quality.
Object Detection and Tracking: Implementing algorithms for identifying and following objects in video content.
Time Series Predictions: Applying ML models to forecast trends and patterns over time.
Fraud Detection in Video Content: Developing systems to identify fraudulent activities in video streams.
Article Popularity Prediction: Creating models to estimate the potential popularity of written content.
MLOps Platform Development: Building and optimizing platforms for efficient ML operations.
Retrieval-Augmented Generation (RAG): Working on state-of-the-art generative models for diverse applications.
My journey in Machine Learning is marked by a relentless pursuit of innovation and excellence, as I continuously explore and contribute to the ever-evolving field of AI.
$1000 / mo
≈ $12000 / year net
DL/ML Engineer (Data Scientist)
Ukraine · Dnipro · 6 months · Upper-Intermediate ·Published 19 April
Ukraine · Dnipro · 6 months · Upper-Intermediate ·Published 19 April
Full-time · 6 mos
Data Engineer at NDA
Feb 2024 - Present · 3 mos
On-site
Labeling of training datasets for neural networks.
C++ / Python Developer at Acade
Jan 2024 - Feb 2024 · 2 mos
On-site
I made educational materials and tasks for an educational platform to deepen knowledge of information technologies and programming.
Data Engineer at Jasnah
Nov 2023 - Jan 2024 · 3 mos
On-site
Solved algorithmic and business problems in C++ to create and train artificial intelligence. Detailed explanation of how sections of code work and documentation.
I pursued a Master's degree in Computer Science at Ukrainian State Chemical Technology University.
$2500 / mo
≈ $30000 / year net
Python Developer
Ukraine · 4 years of experience · Intermediate ·Published 19 April
Ukraine · 4 years of experience · Intermediate ·Published 19 April
In addition, I have experience in data parsing with tools like Selenium, XPath, RegExp, BeautifulSoup, and Pandas, and in developing software for devices. I pursued Machine Learning courses at Hillel for personal growth, gaining a basic understanding and experience with Keras, TensorFlow, Matplotlib, Scikit-Learn, and Numpy.
$4000 / mo
≈ $48000 / year net
Data Analyst/Data Scientist
Ukraine · 5 years of experience · Upper-Intermediate ·Published 17 April · In passive search
Ukraine · 5 years of experience · Upper-Intermediate ·Published 17 April · In passive search
My skills include expertise in:
• Microsoft Excel and Google Sheets
• SQL: MySQL, PostgreSQL, BigQuery, Presto
• Jira, and Confluence for effective teamwork
• Git and CI/CD
• Python: pandas, numpy, pyplot, scipy, sklearn, seaborn, some backend skills: unit tests, FastAPI, GenAI: langchain, llamaindex
• R: tidyverse, data.table, ggplot2, purrr
• Visualizations using Tableau, Google Data Studio
• Some experience with GA4, GTM, Docker, kubernetes, kubeflow
$2500 / mo
≈ $30000 / year net
Developer Python Parsing
Ukraine · 3 years of experience · Beginner/Elementary ·Published 14 April
Ukraine · 3 years of experience · Beginner/Elementary ·Published 14 April
mysql, postgres, mongodb, sqlite, sqlalchemy
Flask, Django, Django-Admin castom
TelegramBot api
XML, JSON
Django Rest Framework
Flask rest API
docker-compose
google sheet API
pandas
$6500 / mo
≈ $78000 / year net
Senior Data scientist & Machine learning engineer
Ukraine · Kyiv · More than 10 years of experience · Upper-Intermediate ·Published 10 April · In passive search
Ukraine · Kyiv · More than 10 years of experience · Upper-Intermediate ·Published 10 April · In passive search
more 10 years experience, supervise and unsupervise.
RecSystem , Video & Image Clasification, Object detection & tracking, Graph NN, NLP, LLM, Time series, Real time bidding, Fraud detection, Signal procession.
more 10 years Python experience
5 years R experience
Classification with BigArtm topic model.
Boosting for classification model with constraints.
Classification video.
Object detection & tracking,
Graph NN,
Boosting for list ranking models.
Sequential Pattern Mining Classification.
Recommend System
Real time bidding model
Fraud detection model
$1500 / mo
≈ $18000 / year net
Data Scientist
Ukraine · Dnipro · 6 months · Upper-Intermediate ·Published 5 April
Ukraine · Dnipro · 6 months · Upper-Intermediate ·Published 5 April
Developed machine learning models using Scikit-learn (LightGBM, Logistic regression, Random Forest ...) for classification and regression tasks.
Applied transfer learning techniques using PyToch to adapt pre-trained model to specific tasks.
To have the chance to advance in the company.
$700 / mo
≈ $8400 / year net
Data Analyst
Ukraine · Dnipro · No experience · Intermediate ·Published 30 March
Ukraine · Dnipro · No experience · Intermediate ·Published 30 March
Моя роль включала:
1) Організація роботи команди та лідерство, використовуючи інструменти координації, такі як Google Sheets та Asana.
2) Збір даних та застосування статистичних методів для вимірювання даних та їх аналізу.
3) Розробка системних методів оцінки з використанням аналізу даних.
4) Иніціалізація граничних показників якості та їх подальша інтеграція в систему контролю якості
4) Створення звітної структури для моніторингу показників якості та використання інструментів візуалізації даних для виділення тенденцій.
5) Аналіз даних з використанням Python, Power BI та Excel для виявлення закономірностей та формулювання гіпотез щодо покращення якості продукту та процесів.
6) Ініціювання проектів для постійного покращення продукту та ефективності агентів.
До цього, з вересня 2014 року по травень 2022 року, я працювала на посаді Заступника Директора з Освіти у Ліцеї 100 в Дніпрі, Україна. У цій ролі я була відповідальна за інтеграцію дистанційного навчання, розробку складних розкладів для більше 1000 студентів, навчання викладачів роботі з Office 365, а також за реалізацію освітніх ініціатив, включаючи STEM-проект та математичну програму.
У майбутньому я спрямована на розвиток навичок у сфері керівництва, аналізу даних та інновацій у галузі освіти та технологій. Я планую поглибити розуміння роботи з даними,
2) Розробка стандартів якості продукту
3) Впровадження звітної системи та візуалізація даних для відстеження показників якості.
4) Аналіз даних і формулювання гіпотез для покращення якості продукту.
5) Впровадження дистанційного навчання через Office 365.
6) Оптимізація розкладів для >1000 студентів.
7) Розробка програми навчання для викладачів Office 365.
8) Розробка переможного проекту на грант STEM-кабінету
9) Управління освітнім YouTube-каналом з мільйонами переглядів.
Мій досвід також розвинув мої навички управління, що проявляється в здатності створювати єдині команди, оптимізувати процеси та приймати стратегічні рішення.
$2500 / mo
≈ $30000 / year net
Computer Vision Engineer
Ukraine · 3 years of experience · Advanced/Fluent ·Published 27 March
Ukraine · 3 years of experience · Advanced/Fluent ·Published 27 March
1. Current solutions analysis (or problem statement analysis)
2. Research of possible approaches (including papers)
3. Customization of solutions found to the task given or coming up with own ideas
4. Collection and maintenance of datasets
5. Selection of valid metrics for solutions' benchmarking and comparison
6. Performing development-testing-evaluation-deployment cycle for the selected solution
7. Optimization of thresholds and system architecture due to tradeoff between performance and risks (as a consequence of decisions made based on ML model results)
8. Models’ performance analysis in production.
Implemented solutions were based on the next approaches: classification, object detection, semantic segmentation, transfer learning, encoders, face recognition, histogram analysis and other classic CV algorithms for image processing.
Main tools used in this project: Python, PyTorch, PaddlePaddle, OpenCV, ONNX, Conda, Jupyter, and Google Colab.
I have experience working as a single ML developer and in a team.
Also, I have worked on NLP solutions and LLM-based system. Before the start of my career at ML, I had experience with Android (Java/Kotlin) and full-stack (TypeScript/React) development.
I’m interested in further development in the field of Machine Learning and Signal Processing.
1. Performance of all solutions was improved (up to +40% of recall with fixed specificity).
2. New solutions were successfully implemented and deployed.
3. An important business logic feature was developed and introduced to the project after my proposal.
4. For all solutions code base for train-test-evaluate was developed (from scratch) and metrics for specific datasets and code versions were noted.
My GitHub (ArtemKamantsev) contains several repositories with researches (links you can find in CV).
I took 1st place, with my team, in the data science competition conducted by the Institute for Applied System Analysis of the National Technical University of Ukraine “Igor Sikorsky Kyiv Polytechnic Institute”