Shahruk Hossain is a research scientist with nine years of experience specializing in speech and language technologies, currently developing TTS, ASR, diarization, and CAPT systems at Cobalt Speech & Language. He combines a strong signal processing and machine learning foundation from BUET (BS/MS, now PhD student) with hands-on work in biomedical imaging projects like early breast cancer detection and lung tumor segmentation. Comfortable moving models from research to client-facing solutions, he focuses on practical, customized cognitive-computing applications that tackle real-world audio challenges. A former IEEE student-branch vice chair and robotics design lead, he pairs technical depth with leadership in academic and student communities. Notably, he brings cross-domain expertise—applying speech techniques to biomedical data—which gives him a unique perspective on signal-driven ML problems.
8 years of coding experience
GCSE O Level, Math, Physics , Chemistry, Biology, Human Biology, Computer Science, Accounting, English, 10 A*, GCSE O Level, Math, Physics , Chemistry, Biology, Human Biology, Computer Science, Accounting, English, 10 A* at Bangladesh International School
Doctor of Philosophy - PhD, Electrical and Electronics Engineering, Doctor of Philosophy - PhD, Electrical and Electronics Engineering at Bangladesh University of Engineering and Technology
GCE A Level, Physics, Chemistry, Biology, Maths, Further Maths, 5 A* with World Highest Marks in Maths, GCE A Level, Physics, Chemistry, Biology, Maths, Further Maths, 5 A* with World Highest Marks in Maths at Bangladesh International School & College
Convert kaldi feature extraction and nnet3 models into Tensorflow Lite models. Currently aimed at converting kaldi's x-vector models and diarization pipelines to tensorflow models.
Contributions:1 review, 67 commits, 38 PRs in 9 months
Contributions:35 PRs, 43 pushes, 39 branches in 2 years 3 months
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Shahruk Hossain - Research Scientist at Cobalt Speech & Language