Summary
Pourya Jafarzadeh is a Machine Learning Researcher and PhD student in AI and acoustic signal processing based in the UK, with nine years of experience building applied ML systems across speech, vision, and NLP. He has driven production projects from Persian OCR and handwritten recognition to face anti-spoofing, chatbot NLP, and text-to-speech emotion and speaker separation, blending research rigor with practical engineering. His recent roles include senior ML work on TTS and speaker emotion recognition and earlier work on video-based demographic analysis and anomaly detection for transportation systems. Comfortable moving models from research to resilient pipelines, he also taught signals and systems at university level, which underpins his signal-processing expertise. Notably, he has hands-on experience overcoming real-world issues like data drift in deployed mask-detection systems, reflecting a focus on robust, production-ready ML.
9 years of coding experience
9 years of employment as a software developer
Bachelor's Degree Computer Software Engineering, Bachelor's Degree Computer Software Engineering at Shahid Chamran University of Ahvaz (Jundi Shapur)
School
Master’s Degree Artificial Intelligence, Master’s Degree Artificial Intelligence at University of Isfahan
Doctor of Philosophy - PhD Engineering, Doctor of Philosophy - PhD Engineering at University of Exeter
English, Persian, French