Elman Mansimov
Senior Applied Scientist at Amazon Web Services (AWS)
New York, New York, United States
Summary
👤
Senior🎓
Top SchoolElman Mansimov is a Senior Applied Scientist based in New York with a decade of experience researching and engineering deep learning systems, large language models, and AI agents. At AWS he drives both foundational and applied work—leading projects like Amazon Quick Research and integrating conversational capabilities into Bedrock Titan models through SFT and RLHF. His background includes research internships at DeepMind, Google Brain/Translate, and FAIR with peer-reviewed publications on document-context MT and in-image translation, reflecting strong academic rigor from his PhD work at NYU. He has a track record of moving research into product-ready evaluation frameworks for agents and improving NLU for task-oriented chatbots like Amazon Lex. Colleagues value him for combining empirical research with production-focused implementations that scale across cloud services. He often bridges the gap between novel model ideas and practical agent evaluation, an angle that differentiates his contributions in industry research.
10 years of coding experience
2 years of employment as a software developer
Doctor of Philosophy (PhD), Computer Science, Doctor of Philosophy (PhD), Computer Science at New York UniversityHonours Bachelor of Science, Computer Science, Honours Bachelor of Science, Computer Science at University of Toronto
Github Skills (55)
pytorch10
python10
machine-learning10
deep-learning10
natural-language-processing10
jupyter-notebook10
nlp10
amazon10
transformer9
reinforcement-learning9
machine-learning-models9
transformers9
sagemaker9
saas9
inference9
Programming languages (7)
Github contributions (5)
nyu-dl/dl4chem-geometry
Oct 2018 - May 2019
Contributions:44 commits, 2 pushes, 3 comments in 6 months
mansimov/pytorch_text_multigpu
Apr 2018 - Feb 2019
torchtext for multiple gpus
Contributions:2 commits, 1 push in 10 months
pytorchrusttorchgpustorchtext
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