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I am a passionate Computer Engineering MSc student and Math BSc graduate who loves coding, solving complex problems, and building robust systems. I enjoy creating inventive solutions, optimizing performance, and continuously learning new technologies to improve outcomes. I contributed to a project modeling drug treatments for viral infections and was able to speed up a core system by 50% using Java, Spring Boot, and Maven. My main tools are Java, C#, and Python. I aim to deepen my knowledge in sustainable energy, cloud-native solutions, and to be part of a great team where I can contribute my skills, learn together, and help build innovative systems that shape the future.…I am a passionate Computer Engineering MSc student and Math BSc graduate who loves coding, solving complex problems, and building robust systems. I enjoy creating inventive solutions, optimizing performance, and continuously learning new technologies to improve outcomes. I contributed to a project modeling drug treatments for viral infections and was able to speed up a core system by 50% using Java, Spring Boot, and Maven. My main tools are Java, C#, and Python. I aim to deepen my knowledge in sustainable energy, cloud-native solutions, and to be part of a great team where I can contribute my skills, learn together, and help build innovative systems that shape the future.

David Galfi

Web Developer, Programmer, Developer, +7

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I am a passionate Computer Engineering MSc student and Math BSc graduate who loves coding, solving complex problems, and building robust systems. I enjoy creating inventive solutions, optimizing performance, and continuously learning new technologies to improve outcomes. I contributed to a project modeling drug treatments for viral infections and was able to speed up a core system by 50% using Java, Spring Boot, and Maven. My main tools are Java, C#, and Python. I aim to deepen my knowledge in sustainable energy, cloud-native solutions, and to be part of a great team where I can contribute my skills, learn together, and help build innovative systems that shape the future.…I am a passionate Computer Engineering MSc student and Math BSc graduate who loves coding, solving complex problems, and building robust systems. I enjoy creating inventive solutions, optimizing performance, and continuously learning new technologies to improve outcomes. I contributed to a project modeling drug treatments for viral infections and was able to speed up a core system by 50% using Java, Spring Boot, and Maven. My main tools are Java, C#, and Python. I aim to deepen my knowledge in sustainable energy, cloud-native solutions, and to be part of a great team where I can contribute my skills, learn together, and help build innovative systems that shape the future.

Available to hire

I am a passionate Computer Engineering MSc student and Math BSc graduate who loves coding, solving complex problems, and building robust systems. I enjoy creating inventive solutions, optimizing performance, and continuously learning new technologies to improve outcomes.

I contributed to a project modeling drug treatments for viral infections and was able to speed up a core system by 50% using Java, Spring Boot, and Maven. My main tools are Java, C#, and Python.

I aim to deepen my knowledge in sustainable energy, cloud-native solutions, and to be part of a great team where I can contribute my skills, learn together, and help build innovative systems that shape the future.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Intermediate

Language

Hungarian

Fluent

English

Advanced

Danish

Beginner

Work Experience

Software Developer (Trainee) at Bolyai Institute, Hungary

June 1, 2023 - June 1, 2024

Developed a drug effect analysis system using agent-based modelling principles to simulate viral infection treatments and therapeutic responses. Enhanced performance by optimizing algorithms and data structures using Spring Boot architecture and Maven dependency management. Created visualization interface with HAL library to process 1000+ grid points displaying cell states and virus concentrations. Accelerated simulation by 50% using Runge-Kutta method while reducing error rate to 0.678% across scenarios.