Работал в 4 компаниях 2 года 11 месяцев
IT, Красота / Фитнес / Спорт, Медицина и Здравоохранение
Machine Learning Engineer/Fullstack Developer
HS-soft
IT
7 месяцев
04.2024 - по настоящее время
ML:Developing an API for uploading restaurant menu images.Processing these images with ChatGPT-4 to extract data.Training the model using around 100 different restaurant menus to ensure accuracy.Exporting the processed data in JSON format to the real-test databaseExporting the project to AWSArchitect and build robust cloud-based pipelines and robust ML framework to train, deploy, infer, and monitor machine learning models at scale.Apply expertise in model design, training, evaluation, validation, implementation, and monitoring.Conduct data preprocessing, feature engineering, and model evaluation.Manage workflows and data pipelines.Fullstack:- Perform new web feature development;- Bug fixing;- Writing a clean and clear code;- Teamwork.- Kotlin language(kobweb)
Fullstack Developer/System administrator
ГО Федерація плавання України
Красота / Фитнес / Спорт
11 месяцев
05.2023 - 04.2024
Successful improvement of the organizational process of conducting the swimming competition. Connecting electronic devices (sirens, detection devices, buttons, microphones, computers), replacing existing ones, working with software directly during the competition. Review and implementation of new solutions to improve work.
Data scientist
RI Software
IT
1 год 3 месяца
12.2022 - 03.2024
- Utilize advanced data science techniques to extract meaningful insights from large datasets, enabling data-driven decision-making.- Collaborate with the back-end and front-end development teams to integrate data science solutions into our web applications.- Design, develop, and implement machine learning models to enhance user experience and optimize system performance.- Conduct in-depth analysis of user behavior, market trends, and application performance, providing actionable recommendations.- Work with various data sources, including structured and unstructured data, to gain a comprehensive understanding of the business landscape.- Explore and implement predictive analytics to improve user targeting, product recommendations, and business forecasting.- Collaborate with cross-functional teams to define key performance indicators (KPIs) and track performance metrics.- Ensure data privacy and security compliance, implementing measures to safeguard sensitive information.- Stay updated on the latest data science advancements and best practices, continuously enhancing your skills and knowledge.
Machine Learning Engineer
Caresnex
Медицина и Здравоохранение
10 месяцев
01.2022 - 11.2022
Develop and optimize machine learning models to enhance diagnostic and treatment processes.Analyze and implement new machine learning methods to optimize product functionality.Collaborate with a multidisciplinary team for the integration of technological solutions.
Ключевая информация
Python C/C++ Kotlin HTML/CSS/JS Knowledge of OOP principles AWS SQL/MySQL/PostgreSQL ML/DL PyTorch/TensorFlow/Sklearn PySpark Git Docker Django/DRF/FastAPI OpenAI OpenCV Scrapy/SeleniumTelegram API/Aiogram Regular expressions Gradle Linear Algebra/Statistics
Учился в 1 заведении
Mykolaiv Building Professional College of KNUCA
Software Engineering
Миколаїв , 2027
Владеет языками
Английский
выше среднего
Может проходить собеседование на этом языке
Может проходить собеседование на этом языке
Украинский
родной
Может проходить собеседование на этом языке
Может проходить собеседование на этом языке
Курсы, тренинги, сертификаты
Python Programming for AWS - Learn Python with AWS and Boto3
https://udemy-certificate.s3.amazonaws.com/image/UC-194fff33-0ef1-474e-8d58-f1764a5e260c.jpg
Work hands-on with S3, EC2, VPC, and RDS
Automate tasks with Lambda
Explore advanced services like SNS, SQS, SES, Glue, EMR
Discover how tools like ChatGPT and GitHub Copilot can revolutionize your Python development for the cloud
Use Python with the AWS Boto3 SDK
Amazon DynamoDB Data Modeling for Architects & Developers
https://udemy-certificate.s3.amazonaws.com/image/UC-4f2b8a6b-18bc-42f3-baa5-0cb69117c4d8.jpg
Use DynamoDB Data Modeling patterns
Apply DynamoDB Best practices
Leverage the right DynamoDb features in your applications
Analyze use cases for DynamoDB
Understand how DynamoDB work under the covers
Introduction to Data Science and Machine Learning
https://stepik.org/cert/2143490?lang=en
Learnt the key concepts of ML/AI fields
Practice numpy/pandas/sklearn
Interactive SQL Trainer
https://stepik.org/cert/2049090?lang=en
SQL language
Basics of Statistics
https://stepik.org/cert/2145784?lang=en
Learned the key principles of statistical analysis. Conducted various statistical studies(regression, A/B testing, correlation matrix etc.), gain knowledge about a lot of different metrics
Linear algebra
https://stepik.org/course/83142/syllabus
Gained an understanding of higher mathematics, the work of matrices, vectors, scalars and their application. Managed to use the knowledge for understanding the work of different ML models
Yevhen Maltsev
Yevhen Maltsev
Python Developer
Николаев
полная занятость, неполная занятость
Характер работы: удаленная работа
Обновлено 2 месяца назад