Soroush Moazed
Technical Lead at AIMedic
Tehran, Iran
Summary
👤
Senior🎓
Top SchoolSoroush Moazed is a Technical Lead with 8 years of experience building and deploying deep learning and computer vision systems, currently leading a team at AIMedic to create AI-powered assistants for medical image interpretation. With a biomedical engineering background from Amirkabir University of Technology, he blends domain knowledge with hands-on expertise in model training, deployment on edge devices (notably NVIDIA Jetson), and productionizing perception stacks for robotics and healthcare. His career spans roles from freelancer to product manager and AI developer, giving him a pragmatic product-minded approach to research-driven solutions. Passionate about statistical analysis and generative deep learning, he often bridges research prototypes and real-world constraints to deliver clinically-relevant models.
8 years of coding experience
5 years of employment as a software developer
Amirkabir University of Technology
Github Skills (21)
data-science9
encoder9
pytorch9
python9
machine-learning9
deep-learning9
tensorflow8
keras7
jax7
neural-network6
manipulation6
trading6
binance5
trading-algorithms5
openpose4
Programming languages (2)
Github contributions (5)
iamsoroush/abstractions
Nov 2021 - Mar 2022
Contributions:5 releases, 95 commits, 51 pushes in 4 months
iamsoroush/face_vae
Jul 2019 - Jun 2021
Implementation of Variational Auto-Encoder (VAE) and Deep Feature Consistent VAE for facial attribute manipulation using Keras and Tensorflow-dataset module.
Contributions:20 commits, 2 PRs, 18 pushes in 1 year 11 months
manipulationattribute-manipulationdeep-learningdatasetconsistent
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