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Schedule Interview NowMy name is Yevhenii K. and I have over 2 years of experience in the tech industry. I specialize in the following technologies: ChatGPT, GPT-3, GPT-4, Python, Flask, etc.. I hold a degree in Bachelor of Computer Science (BCompSc). Some of the notable projects I’ve worked on include: Prompt Engineer and GPT Developer, Sports Gamification Platform, Online Supermarket, GuideBooks for Rental. I am based in Uzhgorod, 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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Miratech
Reface utilizes AI and Machine Learning technology to improve the content creation process. Users are able to combine their faces with the faces of well-known celebrities so that they can create fun, interactive content for their audiences. It has already received global recognition and has trended online multiple times. The client's goal was to enhance the content creation process and increase user engagement by providing a platform that utilizes AI and Machine Learning technology to enable users to combine their faces with those of celebrities. The project aimed to empower user creativity, drive user engagement, gain global recognition, and establish monetization strategies for Reface's content creation platform. ○ Developed and integrateed NLP models, like ChatGPT, for engaging user conversations. ○ Optimized the NLP model for performance, accuracy, and responsive output. ○ Trained and improved machine learning models for realistic facial merging and content generation. ○ Optimized backend infrastructure for handling high volumes and low latency responses. ○ Implemented caching, load balancing, and distributed computing strategies for scalability.
Low6 inspires innovative and creative solutions that redefines future sports mobile devices gamification. Low6 has proudly partnered with the NFL, PGA TOUR, UFC, NFL’s LA Chargers and Cincinnati Bengals, NBA Detroit Pistons, Laver Cup, Learfield Collegiate and many more. The Client's goal was to redefine the future of sports gamification on mobile devices by partnering with renowned sports organizations and delivering innovative, engaging, and cutting-edge experiences. The project aimed to enhance fan engagement, build strong partnerships, deliver state-of-the-art technology, and drive user acquisition and revenue growth for Low6's sports mobile platform. ○Implemented responsive and interactive designs of Low6 in collaboration with UX/UI designers. ○Developed server-side components and APIs to support the functionality of the sports mobile platform. ○Deployed the platform, managing server infrastructure with load balancers and caching mechanisms, and implementing automation scripts for deployment, scaling, and monitoring processes.
Foodex24 operates an online supermarket, offering a variety of products that can be quickly delivered. This helps people in the countries to spend more time on the things that are important to them and less time shopping and heading out into towns. The Client's goal was to enhance convenience and save time for customers in Ukraine and Poland by offering an efficient online supermarket service. The project aimed to streamline the shopping experience, provide quick and reliable delivery, expand product availability, maintain quality standards, and foster repeat business and growth for Foodex24. Designed, developed, and maintained backend components using Django, ensuring best practices, code efficiency, and implementing models, views, and controllers for data management, business logic, and API endpoints. Developed RESTful APIs using Django's REST Framework, implement API endpoints for product listing, searching, ordering, and e-commerce functionalities, and collaborate with frontend developers to ensure seamless communication and integration.
Touch Stay offers flexible yet powerful assistance to short-term rental owners who want to increase revenues and attract more guests. TS provides digital guidebooks for B&Bs, hotels, inns, and more. It creates an easy way to share information about the surrounding area attractions and businesses. The Client's goal was to achieve measurable improvements in their rental property's financial performance by increasing revenue and attracting a larger number of satisfied guests. By implementing Touch Stay's digital guidebooks and leveraging their features effectively, the client aimed to create a competitive advantage and establish their property as a preferred choice among travelers. ○ Developed and maintained the digital guidebook platform by writing clean and efficient Python code to implement new features, enhance existing functionalities, and conducting thorough testing to ensure platform reliability. ○ Integrated third-party APIs into the digital guidebook platform, including handling authentication, writing code for data retrieval and processing from multiple APIs, and ensuring seamless integration with the platform. ○ Managed and optimized the database, which involves designing the database schema, writing efficient SQL queries, monitoring performance, identifying bottlenecks, and optimizing query execution.
Bachelor of Computer Science (BCompSc) in Computer science
2012-01-01-2016-01-01