Josh Reid is a Machine Learning Engineer with 8 years of experience building production-grade ML systems, currently optimizing ad bid pacing at Reddit after leading LLM-driven product initiatives at Loblaw Digital. He combines a Master’s in Software Engineering from the University of Waterloo with hands-on full-stack ML expertise—from terabyte-scale Spark forecasting and real-time APIs on Kubernetes to model training, deployment, and monitoring with TensorFlow, Airflow, Grafana and Looker. Josh has practical experience productionizing LLM applications (OpenAI, HuggingFace, RAG) and has shipped high-throughput services (1000 RPS, <100ms latency) and multi-armed bandit experiments for personalization. Earlier roles as a hardware-focused founder and embedded firmware engineer give him uncommon cross-domain fluency in robotics, PCB design, and sensor systems. He’s equally comfortable architecting scalable cloud pipelines and rolling up his sleeves to prototype sensors or firmware, which helps him bridge research, product and operations. Based in Mississauga, Canada, he brings an entrepreneurial mindset to solving messy, real-world data problems.
8 years of coding experience
10 years of employment as a software developer
Erindale Secondary School
Master of Applied Science Computer Software Engineering, Master of Applied Science Computer Software Engineering at University of Waterloo
For our project working with the Kaggle RSNA pneumonia dataset of chest x-rays to detect signs of pneumonia
Contributions:14 pushes, 1 branch in 1 year 5 months
kagglepythonrsnaraysdataset
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Josh Reid - Machine Learning Engineer at Reddit, Inc.