Dimuthu Anuraj
Competition Committee Member - IEEE Connecting The Unconnected Challenge at IEEE Collabratec®
Jaffna, Northern Province, Sri Lanka
Summary
👤
Senior🎓
Top SchoolDimuthu Anuraj is an MPhil candidate in Signal Processing and Machine Learning with nine years of experience blending academic research, teaching, and community-led technology initiatives. He has led the founding of the IEEE Student Branch at the University of Jaffna and now serves on competition and ambassador committees for IEEE Future Networks, Collabratec, and Science Gateways, driving initiatives that bridge the digital divide. In research roles he has built an MLSP research website, established an HPC center with modern job scheduling, and prototyped speaker verification software for local Sri Lankan languages. A practiced instructor across multiple university faculties, he pairs hands-on tutoring techniques (like programming puzzles and touch-typing drills) with project management and industry partnership experience. Trilingual and comfortable working independently or as a connector in diverse teams, he combines volunteer leadership with a practical focus on applying ML to real-world signal-processing problems.
9 years of coding experience
1 year of employment as a software developer
Master of Philosophy (MPhil) in Computer Engineering, Signal Processing and Machine Learning,, Master of Philosophy (MPhil) in Computer Engineering, Signal Processing and Machine Learning, at University of JaffnaGCE Advanced Level (A/L) Mathematics Stream, GCE Advanced Level (A/L) Mathematics Stream at Royal Central College - Polonnaruwa
English, தமிழ், සිංහල, Hindi, Japanese
Github Skills (46)
open-data10
voice10
crowdsourcing9
speaker9
metric-learning9
mozilla9
face-recognition8
face8
speaker-verification7
re-identification7
machine-learning7
voice-activity-detection7
deep-learning7
deepface7
face-detection7
Programming languages (6)
Github contributions (5)
MLSP-Research-Group-UOJ/voxceleb_trainer_IV
Dec 2022 - Jan 2023
In defence of metric learning for speaker recognition
Contributions:12 pushes in 1 month
deep-learningrecognitionspeakermetric-learningmachine-learning
MLSP-Research-Group-UOJ/voxceleb_trainer
Nov 2022 - Dec 2022
In defence of metric learning for speaker recognition
Contributions:2 pushes, 2 branches in 25 days
deep-learningrecognitionspeakermetric-learningmachine-learning
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