Nenad Jakovchevski
@nenadjakovchevski
Data scientist-focused software engineer building efficient, measurable solutions.
What I'm looking for
I am a software engineer and data scientist-in-training with hands-on experience building full-stack and research-grade systems, from mobile biodiversity monitoring apps to cryptographic benchmarking frameworks. I have delivered performant, documented solutions—optimizing a VRP genetic algorithm 2000× in parallel mode and implementing end-to-end platforms with React and Node.js.
Currently pursuing a Master of Data Science while interning and building a mobile app for biodiversity monitoring, I blend systems-level programming (Java, Rust, C/C++), machine learning tooling (PyTorch, TensorFlow), and solid engineering practices (Git, Docker, CI). I prioritize reproducible architectures and clear documentation to accelerate product impact.
Experience
Work history, roles, and key accomplishments
Software Engineering Intern
greentech.training
Oct 2025 - Present (2 months)
Building the MVP of TANIT’s Field Reporting Tool mobile app for biodiversity monitoring, owning full app functionality, offline architecture, documentation, and AI integration collaboration.
Education
Degrees, certifications, and relevant coursework
University of Padova
Master of Data Science, Data Science
2025 -
Enrolled in a Masters of Data Science program with planned focus on machine learning, deep learning, NLP, and big-data analytics.
University of Primorska, FAMNIT
Bachelor of Computer Science, Computer Science
2022 - 2025
Grade: 9.63/10.0
Completed a Bachelor of Computer Science with a thesis comparing symmetric and asymmetric cryptographic algorithms' impact on system performance.
Tech stack
Software and tools used professionally
Availability
Location
Website
jakovchevski.comJob categories
Skills
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