Summary
Souha Hassine is a Senior Software Engineer based in Paris with six years of experience building embedded systems and AI-driven applications. Trained in signal and image processing (M2, Université Paris‑Saclay) and industrial computing (INSAT), she has moved from hands-on internships—developing an ECG anomaly detection mobile pipeline using TensorFlow, OpenCV, Android, and ESP32—to professional roles at Genomic Vision, Sesame IT, and now Arteris. Her work sits at the intersection of embedded firmware, real-time signal processing, and applied machine learning, reflecting a practical knack for turning research-grade techniques into deployable products. Colleagues value her eagerness to learn new technologies and her track record of shipping end-to-end systems across hardware-constrained and biomedical domains. An interesting detail: early in her career she implemented real-time signal-to-image conversions to make biosignals compatible with convolutional models, highlighting both creativity and systems-level thinking.
5 years of coding experience
3 years of employment as a software developer
Baccalaureate Mathematics, Baccalaureate Mathematics at Lycée Pilote de Sousse
Engineering Diploma (Master of engineering) Industrial Computing and Automation, Engineering Diploma (Master of engineering) Industrial Computing and Automation at INSAT - Institut National des Sciences Appliquées et de Technologie
Master 2 (M2) Signal and Image Processing, Master 2 (M2) Signal and Image Processing at Université Paris-Saclay
English, French, Arabic, Chinese