Aljaž Frančič

Software Engineer at openDAQ

Slovenia
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Summary

👤
Senior
🎓
Top School
Aljaž Frančič is a software engineer and researcher with a PhD in Computer Science and Informatics and a decade of experience bridging academia and industry. After four years as a young researcher and teaching assistant at the University of Maribor, he transitioned to hands-on engineering at openDAQ, applying rigorous research methods to real-world software and data acquisition challenges. His background includes advanced study at Tampere University and deep expertise across the computer science curriculum from bachelor's through doctorate, enabling him to tackle complex systems, algorithms, and experimental development. Based in Slovenia, he combines scholarly rigor with practical engineering discipline, often bringing publication-grade reproducibility and measurement-focused thinking to product development.
code10 years of coding experience
job4 years of employment as a software developer
bookDoctor of Philosophy - PhD, Computer Science and Informatics, Doctor of Philosophy - PhD, Computer Science and Informatics at Faculty of Electrical Engineering and Computer Science, University of Maribor
bookComputer Science, Computer Science at Tampere University
bookThe National Grammar School Programme, The National Grammar School Programme at II. gimnazija Maribor
languagesSlovenian, English
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Github Skills (20)

keras-tensorflow10
machine-learning10
anaconda10
gesture-recognition10
lego-mindstorms-ev310
sdk10
myo10
eclipse10
data-acquisition10
java9
python9
bluetooth9
tensorflow8
neural-network7
crypto3

Programming languages (6)

JavaC++JavaScriptBitBakeJupyter NotebookPython

Github contributions (5)

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💸🚀 Lightning-fast bot that auto-buys new DEX pairs the moment they launch, filters out honeypots, and auto-sells at target profit or stop-loss. Future-ready for AI price forecasting.
Contributions:1 review, 48 PRs, 141 pushes in 1 month
botcrypocurrencycryptocrypto-botcrypto-tools
aljazfrancic/ev3-myo

Sep 2018 - Apr 2022

LEGO Mindstorms EV3 TRACK3R control using the Myo armband and a neural network for gesture recognition
Contributions:19 commits, 5 PRs, 22 pushes in 3 years 7 months
gesture-recognitionlego-mindstorms-ev3neural-networkanacondabluetooth
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