Amirhossein Nouranizadeh
Research Intern at New Jersey Institute of Technology
Tehran, Iran
Summary
👤
Senior🎓
Top SchoolAmirhossein Nouranizadeh is a machine learning researcher and data scientist with 11 years of experience building data-driven decision support systems and optimizing complex graph-structured systems. He blends academic research in graph neural networks and dynamic graph representation learning from Amirkabir University with practical end-to-end deployments across startups and research labs, tackling recommender systems, pricing, and agentic AI solutions. Currently a research intern at NJIT and consulting data scientist at Bookiewand, he has contributed open-source clustering implementations (MeTTa-UL) and applied spectral and bisecting K-means in unconventional languages. Known for turning theoretical insights into production-ready pipelines, he focuses on scientific ML and graph-based approaches to approximate combinatorial optimization. Based in Tehran, he combines deep research rigor with hands-on engineering to help businesses make better, objective-driven decisions.
11 years of coding experience
7 years of employment as a software developer
Amirkabir University of TechnologyIsfahan University of TechnologyNational Organization for Development of Exceptional Talents (Sampad)
Github Skills (16)
backpropagation6
graph-representation-learning6
contrastive-learning5
stochastic-processes5
inverse5
dynamical-systems5
representation-learning5
riemann4
gnn4
self-supervised-learning4
ode4
cuda3
serve3
gpu3
graph-neural-network3
Programming languages (4)
Github contributions (5)
mehdi-gital/biip
Jun 2022 - Aug 2022
Boundary informed inverse PDE problems on discrete Riemann surfaces
Contributions:30 commits, 1 PR, 8 pushes in 2 months
boundaryproblemspderiemanndiscrete
amrhssn/dc-assignment
Dec 2020 - Jan 2021
Contributions:14 pushes in 25 days
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