Jason Too

Software Engineer, Edge ML at Roku

Cambridge, England, United Kingdom
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Summary

👤
Senior
🎓
Top School
Jason Too is an embedded systems and Edge ML engineer with eight years’ experience building hardware-software products and bringing them to market. Currently at Roku and founder of elektroThing, he has delivered commercial IoT and Edge ML devices (Plant-Bot, Tracer) and crowdfunded hardware like the Spark Analyzer while contributing to open-source tooling such as DS-Pi. His background spans consumer, medical and industrial projects—from sensor and image-sensor noise characterisation to deploying CNNs on constrained devices—backed by an MEng from Cambridge. Comfortable across PCB design, firmware, DSP and model optimisation, he combines research-led rigor with hands-on product execution and a knack for turning prototypes into revenue-generating products. An active maker and musician, he brings a creative, interdisciplinary approach to engineering problems.
code8 years of coding experience
job6 years of employment as a software developer
bookA-Levels, A-Levels at Taylor's College
bookMaster of Engineering - MEng Information and Computer Engineering, Master of Engineering - MEng Information and Computer Engineering at University of Cambridge
bookIntensive Chinese Language and Literature, Intensive Chinese Language and Literature at Tsinghua University
bookSPM, SPM at St. Paul's Institution
languagesEnglish, Malay, Chinese, French, Chinese
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Github Skills (46)

stock-price-prediction10
stock10
trading10
simulations10
bots10
trading-bot10
forecasting10
lstm10
monte-carlo10
stock-price-forecasting10
python9
machine-learning9
deep-learning9
seq2seq8
convolutional-neural-networks7

Programming languages (5)

C++CRustJupyter NotebookPython

Github contributions (5)

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tooyipjee/Tracer

Mar 2022 - Sep 2022

Contributions:37 commits, 16 pushes, 1 branch in 5 months
tooyipjee/Spark-Analyzer

May 2024 - Jan 2025

USB-PD ESP32 Power Analyzer
Contributions:1 PR, 8 pushes, 1 branch in 7 months
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Jason Too - Software Engineer, Edge ML at Roku