Elyor Kodirov
Assistant Professor at University of Doha for Science & Technology
Stony Stratford, England, United Kingdom
Summary
👤
Senior🎓
Top SchoolElyor Kodirov is a Lead ML Researcher with nine years of experience at the intersection of deep learning, computer vision, and large language models, currently driving ML research at Opentrons Labworks in the UK. He has led teams and supervised PhD students on person re-identification, face recognition and zero-shot learning, and transitioned those skills into computational biology and LLM prompt engineering. Elyor’s background spans industry and academia—from AnyVision and Zenith Ai to a PhD at Queen Mary University of London—giving him a strong track record of publishing algorithms and shipping production research. Comfortable with OpenAI and Anthropic APIs, he combines hands-on model engineering with practical deployment experience. Colleagues know him for turning advanced research into usable systems and for cross-disciplinary fluency that bridges vision, language and bioinformatics.
9 years of coding experience
14 years of employment as a software developer
B.S., Information Security, B.S., Information Security at Tashkent University of Information Technologies TUITPh.D., Computer Science, Ph.D., Computer Science at Queen Mary University of LondonM.S., Computer Science, M.S., Computer Science at Chonnam National University
English, Uzbek, Russian
Github Skills (16)
biology10
protocols10
robotics10
science10
autoencoder10
webcam7
multibox7
image-recognition6
deep-learning5
object-detection5
computer-vision5
machine-learning4
pytorch4
ncnn1
caffe1
Programming languages (4)
Github contributions (5)
Elyorcv/SAE
Mar 2017 - Nov 2018
Semantic Autoencoder for Zero-shot Learning (Spotlight), CVPR 2017
Contributions:86 commits, 85 pushes, 2 branches in 1 year 8 months
autoencoder
Elyorcv/zsl-deep-learning
Mar 2017 - Apr 2019
Zero-shot learning experiments by deep learning.
Contributions:3 commits, 2 pushes, 1 branch in 2 years 1 month
deep-learning
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