Jiaming Li
Cloud Engineer at Varian
Palo Alto, California, United States
Summary
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Top SchoolJiaming Li is a Cloud Engineer with 8 years of experience who combines strong academic research in deep learning and machine vision with hands-on cloud and DevOps implementation in production. He holds both BS and MS in Computer Science from Kennesaw State University, where his graduate work produced multiple IEEE/ACM publications and novel contributions such as a Temporal Spatial Landmarks Feature Map and efficiency gains for DQN and HEVC encoding. At Syngenta he automated cloud ETL, built a chatbot with AWS Lex/Lambda, and integrated DevOps telemetry into interactive QuickSight dashboards; at Varian he applies cloud ML platforms to sharpen sales strategy and maintain web applications. Proficient across Python, Java, C++, TensorFlow/PyTorch, and a wide AWS toolset, he bridges research-grade ML models and pragmatic cloud services. Based in Palo Alto, he brings a research-driven curiosity to operational cloud systems, often turning experimental ideas into scalable automation.
7 years of coding experience
2 years of employment as a software developer
Bachelor's degree, Computer Science, Bachelor's degree, Computer Science at Northeast Normal UniversityMaster's degree, Computer Science, Master's degree, Computer Science at Kennesaw State University
Github Skills (16)
operating-system6
database5
java5
python5
machine-learning4
cpp4
machine-vision4
computer-vision4
data-structure4
rocket4
computer-science4
deep-learning3
git3
tensorflow3
nodejs2
Programming languages (2)
Github contributions (5)
jiaming-cs/Intelligent-Checkout-System
Sep 2020 - Nov 2020
Machine Vision Class Project
Contributions:31 commits, 2 PRs, 25 pushes in 2 months
pythonvisiondeep-learningclass-projectcomputer-vision
jiaming-cs/TSP-Graph-ConvNet
Feb 2021 - May 2021
Contributions:5 commits, 5 pushes, 1 branch in 3 months
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