Muhammed Sit
Machine Learning Engineer at Atlassian
Iowa City, Iowa, United States
Summary
👤
Senior🎓
Top SchoolMuhammed Sit is a Machine Learning Engineer with over a decade of hands-on experience and 6+ years specifically building production ML systems from research prototypes to deployed services. He currently contributes to Rovo Chat at Atlassian after leading multi-modal AI initiatives at PwC that delivered large-scale document intelligence and legal analysis tools saving millions annually and serving hundreds of thousands of users. His research background in transformer models, computer vision, and NLP includes publications at ICML and NeurIPS workshops, and he has a PhD-level informatics foundation from the University of Iowa. Technically fluent in PyTorch, LangChain, cloud-native architectures on AWS and Azure, and serverless inference patterns, he combines systems design with practical engineering—authoring graph-based agents, multilingual routing pipelines, and no-code deployment tooling for researchers. Known for squeezing latency and cost out of ML production (sub-5s p95 inference and significant projected savings), he also brings a rare blend of academic rigor and product-focused delivery across regulated domains like pharma. Based in Iowa City, he pairs deep research insight with pragmatic leadership of small engineering teams.
11 years of coding experience
12 years of employment as a software developer
Doctor of Philosophy - PhD, Informatics, Doctor of Philosophy - PhD, Informatics at University of IowaBachelor of Science (BSc), Computer Science, Bachelor of Science (BSc), Computer Science at İstanbul Şehir University
Turkish, English
Github Skills (71)
datetime10
random-generation10
programming-language10
graph-convolutional-networks10
golang10
user-agent10
go10
graph-neural-network10
residual-networks10
fake-data-generator10
jwt-authentication9
deep-learning9
vuejs29
geometric-deep-learning9
pytorch9
Programming languages (8)
Github contributions (5)
malisit/django-likeit
Oct 2014 - Oct 2018
A simple app for Django that enables users to like and unlike any object/item within any model. It generates a like button for your objects.
Contributions:8 commits, 1 PR, 6 pushes in 4 years 1 month
django
malisit/kolpa
May 2017 - Oct 2020
A fake data generator written in and for Go
Contributions:59 commits, 15 PRs, 52 pushes in 3 years 5 months
fake-data-generatorgogolangfake-datafake-content
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