Looks like you have JavaScript disabled. For the full Twine experience, you will need to re-enable it.

Hi, I'm Mark Gouzoulis, a passionate software developer with a strong background in computer science and statistics. I enjoy tackling challenging problems, whether it's developing scalable database queries or building neural networks for quantum state prediction. I have hands-on experience in various technologies and programming languages and a knack for collaborating across disciplines. In my previous roles, I've contributed to research projects, built a personal portfolio website, and even developed a 2D platformer game. My goal is to continue growing my skills while contributing meaningfully to innovative tech projects.…Hi, I'm Mark Gouzoulis, a passionate software developer with a strong background in computer science and statistics. I enjoy tackling challenging problems, whether it's developing scalable database queries or building neural networks for quantum state prediction. I have hands-on experience in various technologies and programming languages and a knack for collaborating across disciplines. In my previous roles, I've contributed to research projects, built a personal portfolio website, and even developed a 2D platformer game. My goal is to continue growing my skills while contributing meaningfully to innovative tech projects.

Mark Gouzoulis

Programmer, Developer, Game Developer, +2





Hi, I'm Mark Gouzoulis, a passionate software developer with a strong background in computer science and statistics. I enjoy tackling challenging problems, whether it's developing scalable database queries or building neural networks for quantum state prediction. I have hands-on experience in various technologies and programming languages and a knack for collaborating across disciplines. In my previous roles, I've contributed to research projects, built a personal portfolio website, and even developed a 2D platformer game. My goal is to continue growing my skills while contributing meaningfully to innovative tech projects.…Hi, I'm Mark Gouzoulis, a passionate software developer with a strong background in computer science and statistics. I enjoy tackling challenging problems, whether it's developing scalable database queries or building neural networks for quantum state prediction. I have hands-on experience in various technologies and programming languages and a knack for collaborating across disciplines. In my previous roles, I've contributed to research projects, built a personal portfolio website, and even developed a 2D platformer game. My goal is to continue growing my skills while contributing meaningfully to innovative tech projects.

Available to hire

Hi, I’m Mark Gouzoulis, a passionate software developer with a strong background in computer science and statistics. I enjoy tackling challenging problems, whether it’s developing scalable database queries or building neural networks for quantum state prediction. I have hands-on experience in various technologies and programming languages and a knack for collaborating across disciplines.

In my previous roles, I’ve contributed to research projects, built a personal portfolio website, and even developed a 2D platformer game. My goal is to continue growing my skills while contributing meaningfully to innovative tech projects.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Intermediate

Intermediate

Intermediate

Intermediate

Intermediate

Language

Javanese

Intermediate

Work Experience

Software Development Intern at ArborMetrix

July 1, 2024 - July 12, 2025

Engineered efficient, scalable database queries using SQL, enhancing data accessibility and analysis capabilities. Implemented error logging and analysis procedures, improving overall system reliability. Refactored Python configurations to boost maintainability.

Research Assistant at Walsworth Research Group

December 1, 2023 - July 12, 2025

Collaborated with a team of graduate students to translate a MATLAB test suite consisting of over 1000 lines to Python, improving code accessibility. Engineered interface code to streamline interactions between data acquisition systems and signal generators, enhancing research efficiency.