Full-Stack Web Developer based in the UK
A detail-oriented Full-Stack Web Developer with a strong foundation in JavaScript, HTML, CSS, and Python. Currently contributing to dynamic web projects at The Code Registry in the UK. Bringing a unique blend of analytical thinking from bioinformatics with practical full-stack development skills.
Hi! I'm Artem Sakhniuk, a passionate and detail-oriented Full-Stack Web Developer based in the UK. I hold a Bachelor's degree in Biology with a specialization in Bioinformatics from Taras Shevchenko National University in Kyiv, which provided me with a robust foundation in analytical thinking and complex data analysis.
My journey into web development began with a natural curiosity to apply my problem-solving skills to build practical and innovative solutions. Currently, I'm working as a Full-Stack Web Developer at The Code Registry, where I'm actively involved in developing and maintaining web applications that prioritize optimal performance and user experience. I am a UK resident with full rights to work here.
Beyond coding, I enjoy hiking, sketching in my notebook, and playing D&D. These hobbies reinforce my creative approach to challenges and my appreciation for collaborative environments, qualities I bring to every development project.
I combined Biology and Programming to create a Genomic Data Visualization Tool
I'm a D&D enthusiast and incorporate creative storytelling in my projects
I sketch UI designs in my notebook before coding them
I love hiking and have explored many UK trails
Began my academic journey studying Biology at Taras Shevchenko National University in Kyiv, specializing in Bioinformatics. This provided a strong foundation in analytical thinking and data analysis, achieving a 3.9 GPA.
Started learning Python for bioinformatics applications, developing a genomic data visualization tool for my capstone project. This project bridged biology and IT, sparking my passion for programming and software development.
Expanded my technical skills through comprehensive courses in Python, C, and backend development. Gained practical experience as a Full-Stack Web Developer at Goethe University's FLEX Department, where I led the development of an innovative ChatGPT-based interviewer system.
Currently working as a Full-Stack Web Developer at The Code Registry in the UK. Here, I am actively involved in developing dynamic websites, gaining hands-on experience with Vue.js, PHP 8+, and Laravel API development. My focus is on delivering exceptional user experiences and exceeding client expectations.
Actively enhancing my expertise in modern frameworks and always seeking to contribute to innovative projects in the UK. Committed to continuous learning and applying cutting-edge technologies to create impactful solutions.
Python (90%), JavaScript/ES6+ (88%), C/C++ (85%), C# (82%), Java (80%), PHP (75%)
React, Vue.js, Next.js, HTML5, CSS3, FlexBox, Modern JavaScript
Node.js, Django, Flask, Laravel, REST API Development
PostgreSQL, SQL, SQLAlchemy ORM, Database Design
NumPy, Pandas, Matplotlib, Genomics Data Analysis
OpenAI APIs, Machine Learning Integration, AI-Powered Systems
Git, GitHub, Unit Testing (Pytest, Unittest), CI/CD
Team Leadership, Agile Methodologies, Technical Planning
In my role as a Full-Stack Web Developer at The Code Registry, I spearheaded the development of dynamic web solutions using Vue.js, PHP, and Laravel, focusing on delivering intuitive and high-performing digital experiences. A key challenge was ensuring seamless responsiveness and optimal performance across diverse devices, which I addressed through meticulous optimization and architectural planning. This project significantly enhanced my expertise in building scalable, secure, and user-friendly full-stack applications that consistently exceed client expectations.
At Goethe University, I led the creation of an innovative AI-Powered Interviewer System, harnessing Python and the OpenAI API to conduct intelligent interviews and analyze responses dynamically. This full-stack endeavor demanded robust database design for efficient data management and overcoming integration challenges inherent in deploying advanced AI for nuanced candidate insights. My leadership was pivotal in delivering a solution that achieved 90% client satisfaction, proving my capacity to manage complex technical projects and drive tangible value through cutting-edge AI applications.
I developed a Python-based Genomic Data Visualization Tool as my capstone project, directly addressing the complexities of large-scale biological data interpretation. This involved overcoming significant performance challenges by architecting and implementing efficient algorithms for data management and rendering. The resulting interactive visualization capabilities empower researchers to derive critical insights from vast genomic datasets, demonstrating my proficiency in Python, data visualization, and algorithm design within a bioinformatics context.