I'm Christos Lykoudis, a MSci Computer Science graduate with 5+ years of coding and leadership experience. I design and build scalable full-stack applications using Next.js, Node.js, and TailwindCSS, with a strong focus on accessibility and performance. My academic background is strong, and I enjoy turning real-world problems into clean, maintainable software. I thrive in collaborative environments and love mentoring teammates on productivity tools and automated workflows.

Christos Lykoudis

I'm Christos Lykoudis, a MSci Computer Science graduate with 5+ years of coding and leadership experience. I design and build scalable full-stack applications using Next.js, Node.js, and TailwindCSS, with a strong focus on accessibility and performance. My academic background is strong, and I enjoy turning real-world problems into clean, maintainable software. I thrive in collaborative environments and love mentoring teammates on productivity tools and automated workflows.

Available to hire

I’m Christos Lykoudis, a MSci Computer Science graduate with 5+ years of coding and leadership experience. I design and build scalable full-stack applications using Next.js, Node.js, and TailwindCSS, with a strong focus on accessibility and performance. My academic background is strong, and I enjoy turning real-world problems into clean, maintainable software. I thrive in collaborative environments and love mentoring teammates on productivity tools and automated workflows.

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Experience Level

Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Intermediate
Intermediate
Beginner
Beginner
Beginner
Beginner
Beginner
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Language

English
Fluent
Greek, Modern
Fluent
German
Intermediate
Javanese
Advanced

Work Experience

Full-Stack Developer (Inventory Management System) at Self-initiated
November 1, 2024 - Present
Architected MERN stack application with 5 interactive components and real-time data synchronization. Implemented CI/CD pipeline reducing deployment time by 80% with automated testing and rollback capabilities. Integrated Supabase backend with custom API middleware for authentication and data validation. Optimized performance achieving 96% Lighthouse best practices and 95% accessibility scores. Built RESTful API endpoints with comprehensive error handling and input sanitisation.
Machine Learning Race Strategy Engine at Personal Project
August 31, 2024 - October 21, 2025
Developed reinforcement learning agent processing 40+ years of F1 telemetry data (500K+ records). Engineered ETL pipelines with data cleaning, feature engineering, and cross-validation frameworks. Applied hyperparameter tuning and model selection achieving 87% prediction accuracy on test data. Implemented modular architecture with separation of concerns and comprehensive unit testing. Optimised algorithm performance reducing computation time by 60% through vectorisation and caching.
Sustainable Transport App - HCI Project at University Project
December 31, 2022 - October 21, 2025
Led a 5-member cross-functional team to 2nd place in a competitive university showcase. Agile methodology with 12 structured meetings and comprehensive documentation. Created system architecture with UML diagrams, use cases, and technical specifications; ensured team alignment and timely delivery.
IT Support & System Automation at SCO Surgery
December 1, 2024 - Present
Provided technical support and troubleshooting for internal stakeholders, designed and implemented Python-based automation workflows to streamline repetitive admin tasks, and built a system to extract invoice data from PDFs, populate Excel spreadsheets, and automatically email outputs to third-party accountants, reducing manual processing time by over 70%. Collaborated with colleagues to mentor and train them on productivity tools, including Microsoft Office and automated workflows.
Full-Stack Budgeting System at Independent Project
March 1, 2025 - October 1, 2025
Architected MERN stack budgeting tool enabling users to connect different bank accounts; implemented CI/CD pipeline reducing deployment time by 80% with automated testing and rollback; integrated Supabase backend with custom API middleware for authentication and data validation; optimised performance achieving Lighthouse 96% and 95% accessibility scores; built RESTful API endpoints with comprehensive error handling and input sanitisation.
Machine Learning Race Strategy Engine at Independent Project
September 1, 2023 - August 1, 2024
Developed reinforcement learning agent processing 40+ years of F1 telemetry data (500K+ records); engineered ETL pipelines with data cleaning, feature engineering, and cross-validation frameworks; applied hyperparameter tuning and model selection achieving 87% prediction accuracy on test data; implemented modular architecture with separation of concerns and comprehensive unit testing; optimised algorithm performance reducing computation time by 60% through vectorisation and caching.
IT Support & System Automation at SCO Surgery
March 1, 2025 - Present
Provided technical support and troubleshooting for internal stakeholders, ensuring smooth IT operations. Designed and implemented Python-based automation workflows to streamline repetitive administrative tasks. Built a system to extract invoice data from PDFs, populate Excel spreadsheets, and automatically email outputs to third-party accountants, reducing manual processing time by over 70%. Collaborated with colleagues to mentor and train them on productivity tools, including Microsoft Office and automated workflows.
Full-Stack Budgeting System
March 1, 2025 - October 1, 2025
Architected a MERN stack budgeting tool enabling users to connect different bank accounts, powered by AI technology (Cursor/ChatGPT) and Version Control (Git). Implemented CI/CD pipeline reducing deployment time by 80%, integrated Supabase backend with custom API middleware for authentication and data validation, and achieved Lighthouse best practices of 96% and 95% accessibility. Built RESTful API endpoints with comprehensive error handling and input sanitisation.
Machine Learning Race Strategy Engine
September 1, 2023 - August 1, 2024
Developed reinforcement learning agent processing 40+ years of F1 telemetry data (500K+ records). Engineered ETL pipelines with data cleaning, feature engineering, and cross-validation frameworks. Applied hyperparameter tuning and model selection achieving 87% prediction accuracy on test data. Implemented modular architecture with separation of concerns and comprehensive unit testing. Optimised algorithm performance reducing computation time by 60% through vectorisation and caching.

Education

MSci Computer Science (2:1) at University of Birmingham
January 1, 2020 - January 1, 2024

Qualifications

A Levels (A* in Computer Science, Maths, Further Maths)
September 10, 2018 - June 26, 2020

Industry Experience

Software & Internet, Computers & Electronics, Professional Services, Financial Services, Education, Media & Entertainment