Parsa Riahi
Chief Technology Officer at SPARC Global
Vancouver, British Columbia, Canada
Summary
👤
Senior🎓
Top SchoolParsa Riahi is a CTO and founder-level technology leader specializing in Geo AI and platform engineering, currently driving SPARC Global’s engineering, AI architecture, and multi-tenant geospatial platforms used by governments and natural resource operators worldwide. He designs and ships continental-scale systems—MineScope, AgriScope, and ForestScope—that turn satellite and ground-truth data into operational intelligence for compliance, production optimization, and deforestation detection. Parsa combines hands-on ML research (published work and NAS/ViT experience from Huawei) with enterprise-grade security and compliance delivery (SOC 2, ISO 27001, CMMI DEV/5) for clients with classified and large-scale data needs. Previously he co-founded DYNE, where AI-driven analytics accelerated marketing performance for restaurants across major partner ecosystems. Comfortable spanning product, engineering, and go-to-market, he scales teams and roadmaps for international deployments. Based in Vancouver and trained in computer engineering at UBC, he’s motivated by climate resilience and building trustworthy AI that governments and enterprises can operationalize.
8 years of coding experience
6 years of employment as a software developer
IB diploma program Calculus and Physics, IB diploma program Calculus and Physics at West Vancouver Secondary SchoolBachelor of Applied Science - BASc Computer Engineering, Bachelor of Applied Science - BASc Computer Engineering at The University of British Columbia
Persian, English, French
Stackoverflow
1reputation
0reached
0answers
0questions
Github Skills (20)
plugin7
location7
flutter-plugin7
flutter6
battery6
android6
denoising6
dart5
image-restoration5
super-resolution5
ios5
high-resolution4
vision-transformer3
transformer3
realtime3
Programming languages (3)
Github contributions (5)
ArnoldYing/AssignmentScheduler
Jan 2020 - Jan 2020
Contributions:23 commits, 17 pushes in 1 day
Priahi/OO-Machine-Learning
Jun 2020 - Jun 2020
an amalgamation of all my machine learning training and OO Python to demonstrate functionality
Contributions:2 PRs, 15 pushes, 3 branches in 2 days
pythonmachine-learning-trainingdata-sciencemachine-learningtraining
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