Chief Technology Officer & Head Of AI at AiMining Technologies
Old Toronto, Ontario, Canada
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Summary
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Senior
🎓
Top School
Daniel W is a quant and machine learning researcher with a decade of experience building production-ready models at the intersection of finance, healthcare, and generative AI. Currently at Two Sigma, he develops quantitative strategies informed by large-scale news and alternative data, following earlier research roles at Stanford and multiple healthcare institutions where he applied deep learning to gait-based risk prediction and cancer modeling. As co-founder and CEO of a startup, he focused on pragmatic problem solving and operationalizing models, and his GitHub highlights interests in generative AI, cloud architecture, and home automation. Comfortable moving between fast research prototypes and robust production systems, he brings a rare combination of academic rigor (Stanford BS in CS & Math) and hands-on engineering across Python, TensorFlow/Keras, and cloud-native stacks.
10 years of coding experience
9 years of employment as a software developer
Executive Business Foundations (EMBA Candidate), Executive Business Foundations (EMBA Candidate) at Quantic School of Business and Technology
Product Management, Product Management at BrainStation
Bachelor of Engineering (B.Eng.), Computer Engineering, Bachelor of Engineering (B.Eng.), Computer Engineering at University of Ottawa
TheBench v.2 - GraphQL Boogaloo. An infrastructure overhaul of the original "TheBench" android application, building in Python and Java with a Django-Graphene backend utilizing a GraphQL API structure for highly customizable queries with slim data packaging. Apollo-Android client utilized for frontend-backend pipeline infrastructure creation
Contributions:4 commits, 1 PR, 2 pushes in 4 days
pythondjangographene-djangostructure-apipipeline
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Daniel Campbell - Chief Technology Officer & Head Of AI at AiMining Technologies