Summary
Gajan Suthokumar is a Senior Data Scientist and signal-processing specialist with a PhD in machine learning and signal processing, known for developing award-winning anti-spoofing countermeasures for voice biometrics using domain adaptation and adversarial learning. With four years of industry experience spanning CSIRO Data61, media and finance firms, and academic research at UNSW, he bridges rigorous research with production ML systems. He has applied Bayesian inference, deep learning, and feature engineering to real-world problems from biometric security to smart agriculture and IoT-enabled supply chains. At UNSW he also designed and delivered an online digital circuit course that achieved a 100% student satisfaction rate, reflecting strong technical communication and teaching skills. Now based in Sydney, he combines hands-on modeling and signal expertise with product-focused deployment experience across enterprise and research settings. An underrated strength is his track record of turning niche signal-processing research into robust, commercially validated algorithms.
4 years of coding experience
6 years of employment as a software developer
BSc Eng (Hons) Electronic & Telecommunication Engineering, BSc Eng (Hons) Electronic & Telecommunication Engineering at University of Moratuwa
High School Physical Science Stream, High School Physical Science Stream at Royal College Colombo
BCS Higher Educational Qualification Information Technology, BCS Higher Educational Qualification Information Technology at BCS, The Chartered Institute for IT
UNSW Sydney
Tamil, Sinhalese, English