Kaushalya Madhawa
Research Engineer - AI4Science at SB Intuitions
Tokyo, Japan
Summary
👤
Senior🎓
Top SchoolKaushalya Madhawa is a research engineer specializing in AI for science and healthcare, with 11 years of experience building machine learning models and production ML pipelines. Based in Tokyo, he has advanced domain-specific LLMs and multimodal health applications at The University of Tokyo and now works on AI4Science at SB Intuitions. His background includes deep learning for medical imaging, ML-Ops, model compression (quantization/pruning), and a granted patent for molecular graph generation from his time at Preferred Networks. He combines rigorous academic training—a Ph.D. in AI from Tokyo Institute of Technology—with hands-on startup and industry practice, shipping systems from concept to regulated healthcare settings. Comfortable across research and engineering, he often bridges novel model architectures and practical deployment, and has a track record of improving prediction accuracy through inventive data augmentation and pipeline design. An understated but recurring theme in his career is translating cutting-edge research into deployable tools that handle large, real-world datasets.
11 years of coding experience
8 years of employment as a software developer
CourseraMaster’s Degree, Computer Science, Master’s Degree, Computer Science at University of ColomboDoctor of Philosophy (Ph.D.), Graduate major in Artificial Intelligence, Doctor of Philosophy (Ph.D.), Graduate major in Artificial Intelligence at Tokyo Institute of TechnologyAdvanced Level, Mathematics stream, Z Score - 2.8345 / National Rank - 28, Advanced Level, Mathematics stream, Z Score - 2.8345 / National Rank - 28 at Mahinda CollegeBSc (Hons), Computer Science and Engineering, BSc (Hons), Computer Science and Engineering at University of Moratuwa
English, Japanese, Sinhalese
Stackoverflow
77reputation
12kreached
4answers
2questions
Github Skills (78)
transformers10
huggingface10
medical-image-analysis10
medical10
grad-cam10
computer-vision10
classification10
community-detection10
graph-embedding10
clip10
kernel-methods10
pytorch10
xai10
machine-learning10
similarity10
Programming languages (3)
Github contributions (5)
net-titech/net-titech.github.io
Mar 2017 - Dec 2018
Contributions:14 commits, 14 pushes, 1 comment in 1 year 9 months
Kaushalya/medclip
Jul 2021 - Oct 2022
Fine-tuning a CLIP model on the ROCO medical dataset
Contributions:1 review, 23 commits, 9 PRs in 1 year 2 months
pytorchtransformersdeep-learningclipdataset
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