Georgios Soloupis

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Greece
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Summary

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Senior
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Georgios Soloupis is a mobile and on-device AI developer with nine years of professional software experience and over a decade building user-focused mobile applications. He blends Android engineering and machine learning to deliver low-latency, privacy-preserving ML on-device, with hands-on experience integrating TensorFlow Lite into advanced camera and accessibility features. Georgios has contributed to the prominent tensorflow/tflite-support toolkit—adding a grayscale image op that handles multiple tensor types—demonstrating practical open-source impact on mobile ML tooling. His background is unusual: alongside software roles, he has 19 years of service running a community pharmacy, informing a pragmatic, user-centered approach to health and accessibility apps. Fluent in Kotlin, Java, Python and LiteRT, he’s focused on bringing AI into real-world mobile and embedded products and consulting on on-device ML pipelines. Based in Greece, he actively seeks collaborations that push intelligent, private mobile experiences into everyday devices.
code9 years of coding experience
job9 years of employment as a software developer
bookMaster's degree of Clinical Pharmacy, Master's degree of Clinical Pharmacy at Ethnikon kai Kapodistriakon Panepistimion Athinon
bookFacebook Deep Learning scholarship, Machine Learning, AI fields, Facebook Deep Learning scholarship, Machine Learning, AI fields at Udacity
bookPharmacy, Pharmacy at Aristotle University of Thessaloniki (AUTH)
languagesGreek, Spanish, English
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tensorflow
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Github Skills (14)

javas10
computer-vision10
tensorflow-lite10
image-processing10
java10
tensorflow9
android9
kotlin6
keras6
nlp6
textview6
google-cloud-platform6
colors6
python6

Programming languages (5)

JavaC++Jupyter NotebookKotlinPython

Github contributions (5)

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tensorflow/tflite-support

Mar 2021 - Aug 2021

TFLite Support is a toolkit that helps users to develop ML and deploy TFLite models onto mobile / ioT devices.
Role in this project:
userML Engineer
Contributions:33 reviews, 20 commits, 4 PRs in 5 months
Contributions summary:Georgios primarily contributed to the `TransformToGrayscaleOp` class, adding functionality to convert images to grayscale within the TFLite framework. They implemented the grayscale conversion logic using a color matrix and integrated it with `TensorImage` and `TensorBuffer` to support UINT8 and FLOAT32 data types. The user also made minor code adjustments, including indentation changes, constructor modifications, and the addition of checks.
iot-devicesmachine-learningtflite-modelstensorflowtflite
Contributions:42 commits, 45 pushes, 6 branches in 6 months
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