m
misterserhat

Serhat A.

@misterserhat

Computer Science and Media Student, Frontend Developer

Alemanha
Alemão, Inglês
Algumas informações são exibidas no idioma inglês.
Sobre mim
Computer Science Master’s Student & Web Engineer I bridge the gap between high-end design and professional software engineering. With a background in internal web development at Capgemini and an ongoing M.Sc. in Computer Science, I don’t just build websites—I engineer digital assets. My Focus: - Performance: Clean code for lightning-fast speeds. - Technical SEO: Search-engine-ready architecture. - Results: From construction portals to personal branding. Let’s build something that actually performs.... Saiba mais

Habilidades

m
misterserhat
Serhat A.
offline • 
Tempo médio de resposta: 1 hora

Conheça meus serviços

Sites Personalizados
I will build a high performance astro landing page
A partir deUS$ 120 /projetoMais detalhes
Sites Personalizados
I will migrate your slow wordpress site to astro for max speed
A partir deUS$ 150 /projetoMais detalhes

Portfólio

Experiência profissional

Capgemini

Working Student | Frontend Developer

Capgemini • Meio período

Sep 2023 - Aug 2024 • 11 mos

Web & AR Development - React: Developed and optimized high-performance web applications. - Unity: Engineered and refined Augmented Reality (AR) solutions. - Project Support: Provided technical expertise for cross-functional tasks. Internal Web Project - Angular: Built responsive UIs and modular frontend architectures. - Component Integration: Streamlined technical assets within an agile team. - Collaboration: Contributed to full-cycle development in small-scale teams.

Fraunhofer-Gesellschaft

Working Student | XAI

Fraunhofer-Gesellschaft • Meio período

May 2022 - Jun 2023 • 1 yr 1 mo

- Computer Vision (Python): Developed and trained Vision Transformers for image classification (MNIST). - ML Pipeline: Managed full end-to-end workflow: data preprocessing, model training, and performance evaluation. - Technical Implementation: Focused on applying state-of-the-art Deep Learning architectures in a research-driven environment.