Marcel Ndrecaj Portfolio

Engineering Software.
Understanding Systems.

Hi, I'm Marcel. I am a Computer Science and Bioinformatics student with hands-on experience in enterprise environments. I am passionate about tackling complex technical challenges, writing robust architecture, and taking genuine ownership to drive projects forward.


Experience

Academic rigor meets enterprise reality.

A balanced approach to understanding both the 'how' and the 'why' of technology.

Bosch Dual-Study

B.Sc. Computer Science

Gained 1.5 years of hands-on practical experience embedded within a global enterprise. Learned the fundamentals of industrial software engineering, team dynamics, and navigating complex corporate architectures.

  • Software Architecture
  • Enterprise Environment
  • Embedded Systems
Bosch USA 3 Months

International Internship

Stepped out of my comfort zone to work in the US. A vital experience for understanding international collaboration, different engineering cultures, and developing professional independence.

  • Intercultural Comm.
  • Adaptability
  • Global Teams
Uni Tübingen Current

M.Sc. Bioinformatics

Studying the ultimate complex system: life itself. Learning to process massive datasets, design algorithms for biological problems, and understand architecture at a microscopic level.

  • Data Architecture
  • Complex Systems
  • Algorithmic Thinking

Perspective

Decoding Complexity

Why Bioinformatics? Because I believe a leader must be able to understand how to navigate and structure highly complex and chaotic information. Biology provides the perfect training ground for mastering data and systems architecture.


Initiatives

Applying theory to practice.

Side projects focused on product lifecycle and architecture.

Indie Software Planner

Designing the architecture and overseeing the development lifecycle for a SaaS tool aimed at solo-entrepreneurs. Planning features, database schema, and scalable infrastructure.

View Architecture →

Data Vis Engine

Building a high-performance rendering engine. Focused on understanding bottlenecks and optimizing GPU computations for massive datasets.

View System Design →