Juan Haladjian
Senior Machine Learning Engineer at Apple
Heidelberg, Baden-Württemberg, Germany
Summary
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Senior🎓
Top SchoolJuan Haladjian is a Senior Machine Learning Engineer at Apple with over 13 years of experience bridging academic research and production systems in activity recognition, time-series analysis, and data-centric AI. He holds a PhD and habilitation from Technical University Munich, where he created open-source toolkits and an iPad visual programming environment for smart textiles, reflecting a strong systems-and-application mindset. At Apple he focuses on practical ML engineering and LLM fine-tuning while drawing on deep expertise in semi-supervised methods like pseudo-labeling, active learning, and signal processing. Comfortable across languages and stacks (Python, C++, Matlab, JavaScript, front- and back-end), he brings research rigor to product-quality code and has a track record of shipping both research software and consumer-facing apps. Based in Heidelberg, he combines academic distinction (suma cum laude) with hands-on development—an engineer who turns complex sensor and sequential-data problems into deployable solutions.
13 years of coding experience
7 years of employment as a software developer
Master of Cience, Computational Science and Engineering, Passed with distinction with an average grade of 1,5 (German grading system), Master of Cience, Computational Science and Engineering, Passed with distinction with an average grade of 1,5 (German grading system) at Technical University MunichBachelor, Computer Science, Passed with honors. Attained best grades of the academic year 2009., Bachelor, Computer Science, Passed with honors. Attained best grades of the academic year 2009. at Universitat Pompeu Fabra
English, Spanish, German, French, Catalan
Stackoverflow
81reputation
2kreached
3answers
2questions
Github Skills (18)
wearable-computing10
activity-recognition10
wdk10
time-series10
matlab10
machine-learning-algorithms10
data-annotation10
hardware9
arduino9
ios8
coredata6
xcode6
box2d6
debugging6
draw6
Programming languages (3)
Github contributions (5)
avenix/WDK
Nov 2018 - Jan 2020
The Wearables Development Toolkit - a development environment for activity recognition applications with sensor signals
Contributions:208 commits, 125 pushes, 4 branches in 1 year 2 months
activity-recognitionwearable-computingmachine-learning-algorithmsrecognition-chainwdk
ls1intum/Interactex
Apr 2013 - Jan 2017
You can use the Interactex Designer to visually create and test software for your eTextiles without the need to write any code. It supports every hardware component of the Arduino Lilypad family such as LEDs, buttons, accelerometers, light sensors, etc and every iOS user interface element such as buttons, labels, switches, etc.
Contributions:353 commits, 14 pushes, 3 tags in 3 years 9 months
arduinohardwareios
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