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Schedule Interview NowMy name is Evgeniy M. and I have over 2 years of experience in the tech industry. I specialize in the following technologies: MERN Stack, RESTful API, Responsive Design, JavaScript, Python, etc.. I hold a degree in Bachelor's degree, . Some of the notable projects I’ve worked on include: E-commerce Platform, University Education & Management System(MERN Stack), White Blood Cell Classification System (AI/ML + Qt), Web Scraper (Python). I am based in Merefa, Ukraine. I've successfully completed 4 projects while developing at Softaims.
I approach every technical challenge with a mindset geared toward engineering excellence and robust solution architecture. I thrive on translating complex business requirements into elegant, efficient, and maintainable outputs. My expertise lies in diagnosing and optimizing system performance, ensuring that the deliverables are fast, reliable, and future-proof.
The core of my work involves adopting best practices and a disciplined methodology, focusing on meticulous planning and thorough verification. I believe that sustainable solution development requires discipline and a deep commitment to quality from inception to deployment. At Softaims, I leverage these skills daily to build resilient systems that stand the test of time.
I am dedicated to making a tangible difference in client success. I prioritize clear communication and transparency throughout the development lifecycle to ensure every deliverable exceeds expectations.
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DataArt
Problem: A local retailer needed an online store to reach more customers and manage sales digitally. Solution: I developed a full e-commerce platform using the MERN stack (MongoDB, Express.js, React, Node.js) with features like product catalog, shopping cart, user authentication, and secure checkout. Result: The client successfully launched their online store, expanded customer reach, and reduced manual work with an efficient order management system.
Problem: An educational organization required a web platform to deliver courses and track student progress online. Solution: I built a learning management system using the MERN stack, including dashboards for students and teachers, course management tools, authentication, and progress tracking features. Result: The platform made it easier to deliver and manage courses, improved student engagement, and provided better visibility for educators.
Problem: Manual classification of blood cells is time-consuming and prone to human error in medical analysis. Solution: I developed a machine learning system using Python, TensorFlow, Keras, and Qt. The solution included image preprocessing, a CNN model for classification, and a desktop application with a user-friendly GUI. Result: The system automated the classification of white blood cells with high accuracy, supporting healthcare professionals and research with faster and more reliable analysis.
Problem: Businesses often need to collect product data (prices, names, ratings) from e-commerce websites manually, which is slow and repetitive. Solution: I built a Python web scraper using BeautifulSoup, Requests, and Pandas to extract structured product data and save it into CSV format. Result: The process of gathering product information became automated, accurate, and 10x faster compared to manual copying.
Bachelor's degree in Information Technology
2015-01-01-2019-01-01
in
2019-01-01-2025-01-01