Rahul Baburajan
Doctoral Research Fellow at SFI Visual Intelligence
Aberdeen City, Scotland, United Kingdom
Summary
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Senior🎓
Top SchoolRahul Baburajan is a doctoral research fellow and AI engineer with eight years of experience spanning computer vision, NLP, computational photography, and deep learning, grounded in an MSc in Artificial Intelligence (University of Aberdeen) and a BTech from IIT Madras. He has moved fluidly between academia and industry—contributing to GAN optimization and Fourier ptychography at IISc and IIT Madras, building production LLM and RAG pipelines at TIFIN and Salus Technical, and deploying NLP systems for large-scale customer service at Agara. His current research focuses on geometric deep learning (equivariant and hyperbolic models) for energy-related datasets, reflecting a rare blend of theoretical rigor and applied pipeline engineering. Notably, he has driven measurable impact—accelerating support response times and cutting imaging acquisition by nearly 70%—and he combines strong Python/TensorFlow/PyTorch skills with practical experience in model serving and knowledge-graph–augmented LLM tooling.
9 years of coding experience
5 years of employment as a software developer
Master of Science - MS, Artificial Intelligence, Master of Science - MS, Artificial Intelligence at University of AberdeenIndian Institute of Technology Madras
English, Malayalam
Github Skills (44)
pytorch9
python9
machine-learning9
natural-language-processing9
photoshop9
sketch9
audio9
nlp9
speech-recognition8
transformer8
deep-learning8
inference8
multimodal8
llm8
machine-learning-models7
Programming languages (2)
Github contributions (5)
kaminocode/body2body
Jan 2018 - Mar 2018
Contributions:37 commits, 35 pushes, 1 branch in 2 months
kaminocode/risklive
Feb 2024 - Oct 2024
Contributions:7 pushes in 8 months
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