James Liang
Member Of Technical Staff at Decagon
Montreal, Quebec, Canada
Summary
👤
Senior🎓
Top SchoolJames Liang is a Machine Learning Engineer with nine years of experience building backend systems, ML pipelines, and cloud-native tooling across startups and enterprise teams. Trained in honours Mathematics and Computer Science at McGill, he has shipped production-facing backend features at Ramp and Autodesk and developed Kubernetes/Helm-based deployment automation in Go at Ribbon. His research and applied ML work includes fine-tuning RoBERTa for clinical entity extraction with 95% accuracy and building low-latency drug-ontology services that aligned 76k+ entities for healthcare interoperability. He also has hands-on data science experience optimizing marketing models at Boehringer Ingelheim and creating scalable RShiny/OCR tooling for clinical trial data. Outside core engineering, James organized Montreal’s largest CEGEP hackathon, demonstrating technical leadership and community-building skills. He combines a strong theoretical foundation with practical production delivery and a taste for good food—often the spark behind collaborative hack-day wins.
9 years of coding experience
2 years of employment as a software developer
Diploma of College Studies, Honours Pure and Applied Sciences, Diploma of College Studies, Honours Pure and Applied Sciences at Marianopolis CollegeHigh School Diploma, High School Diploma at Collège Jean-EudesBachelor of Science - BS, Honours Mathematics and Computer Science, Bachelor of Science - BS, Honours Mathematics and Computer Science at McGill University
English, French, Chinese, Chinese
Github Skills (10)
deep-q-learning7
deep-q-network6
actor-critic6
deep-reinforcement-learning4
deep-learning3
pytorch3
tensorflow3
benchmarking2
python1
chatbot1
Programming languages (2)
Github contributions (5)
JL321/PolicyGradients-torch
May 2020 - May 2020
Contributions:6 commits, 17 pushes in 20 days
JL321/CycleGAN
Mar 2019 - Aug 2019
Contributions:37 pushes, 1 branch in 5 months
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