Alex Qi
AI ML Software Engineer at Essenlix Corporation
South Brunswick, New Jersey, United States
Summary
🤩
Rockstar🎓
Top SchoolAlex Qi is an AI/ML software engineer with seven years of experience building computer vision and ML solutions for medical diagnostics and imaging. Currently at Essenlix, he develops end-to-end CV pipelines for cell counting, classification and segmentation, optimizes TensorFlow model serving with GPU/CPU concurrency and TensorRT/ONNX deployments, and helped bring Azure infrastructure to GDPR and ISO 27001 compliance. His background blends academic research in optics and biomedical imaging—developing GDOCM and FLIM acquisition and processing software—with applied ML work on localization using feedforward neural networks. He has shipped mobile data modules and server-to-server integrations (Celery/Django REST) for intraoperative and remote lab workflows, demonstrating both embedded/mobile and cloud-first engineering skills. Based in New Jersey and trained at UC San Diego and the University of Rochester, he pairs hands-on systems engineering with domain expertise in biomedical imaging, a combination that speeds translation from prototype models to regulated clinical software.
7 years of coding experience
3 years of employment as a software developer
Master's degree, Electrical and Computer Engineering, Master's degree, Electrical and Computer Engineering at University of California, San Diego - Jacobs School of EngineeringBachelor's degree, Biomedical Engineering, Bachelor's degree, Biomedical Engineering at University of Rochester
English, Chinese
Github Skills (14)
planning10
dstar10
animation10
astar10
project-list8
react5
remark5
movie4
markdown4
redux4
react-markdown4
javascript3
typescript3
jsx3
Programming languages (3)
Github contributions (5)
391311qy/Private
Oct 2018 - Feb 2020
Contributions:1 push, 1 branch in 1 year 4 months
391311qy/391311qy.github.io
Nov 2020 - Jan 2021
Contributions:42 pushes, 1 branch in 1 month
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