Jahandar Jahanipour
Senior Solutions Architect at NVIDIA
United States
Summary
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Rockstar🎓
Top SchoolJahandar Jahanipour is a Senior Solutions Architect at NVIDIA with nine years of experience designing and deploying AI-driven solutions across healthcare and biomedical imaging domains. He holds a PhD in Electrical and Electronics Engineering and has a strong track record building and optimizing deep learning models for segmentation, detection, and generative tasks at institutions like Mayo Clinic and the NIH. Jahandar combines research rigor with production know-how—deploying models on GCP with containerization and accelerating inference for edge devices. He is an active AI practitioner and contributor to educational ML tooling, authoring TensorFlow tutorial notebooks and CNN/autoencoder examples to lower the barrier to entry for practitioners. Skilled in LLMs (RAG, PEFT/LoRA, prompt engineering) and GenAI (GANs, VAEs, diffusion), he adapts foundation models to domain-specific needs and large-scale datasets. Based in the United States, he blends deep technical expertise with practical deployment experience to move cutting-edge models from prototype to production.
8 years of coding experience
5 years of employment as a software developer
Doctor of Philosophy (PhD), Electrical and Electronics Engineering, Doctor of Philosophy (PhD), Electrical and Electronics Engineering at University of HoustonAmirkabir University of TechnologyMaster of Science (M.Sc.), Electrical, Electronics and Communications Engineering, Master of Science (M.Sc.), Electrical, Electronics and Communications Engineering at Isfahan University of Technology
English, Persian
Stackoverflow
33reputation
1kreached
0answers
2questions
Github Skills (10)
neural-network10
machine-learning10
jupyter-notebook10
convolutional-neural-networks10
tensorflow10
autoencoder10
python9
mnist9
opencv6
numpy6
Programming languages (2)
Github contributions (5)
easy-tensorflow/easy-tensorflow
Nov 2017 - Feb 2019
Simple and comprehensive tutorials in TensorFlow
Role in this project:
ML Engineer
ML EngineerContributions:1 release, 53 commits, 1 PR in 1 year 2 months
Contributions summary:Jahandar's commits primarily involve implementing and modifying Jupyter Notebook files related to TensorFlow tutorials. They added basic TensorFlow concepts such as constants, variables, and placeholders in a tutorial format. Their work also includes building and adjusting a Convolutional Neural Network (CNN) model for MNIST handwritten digit classification, and also adding an Autoencoder Model. The changes encompass code modifications, and conversions of the files into Q&A format.
tensorboardcomprehensivetensorlayertensorflow
jjahanip/photoshop_scripts
Aug 2020 - Mar 2025
Contributions:16 pushes, 1 branch in 4 years 6 months
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