Shane So

shane liam so@sfu.ca | shaneso.dev | linkedin.com/in/shaneso | github.com/shaneso

Education

Simon Fraser University Burnaby, BC

Bachelor of Science in Data Science Expected May 2028

Experience

Research Engineer Intern, Robotics & Embodied Intelligence Jun. 2025 – Aug. 2025

National Research Council Canada Vancouver, BC

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Architected and implemented a real-time control system for autonomous environmental sensing and diagnostics as

part of a classiﬁed robotics initiative at the Clean Energy Innovation Research Centre

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Optimized embedded systems through modular architecture and memory-eﬃcient template metaprogramming,

reducing ﬂash writes by 44% and program footprint by 51% within <33 KB constraints

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Developed and validated low-level C++ ﬁrmware for Renesas RA4M1/ATmega328P-class MCUs interfacing

precision-calibrated sensor arrays over I²C

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Engineered automation scripts and diagnostic protocols to continuously log system telemetry, leveraging serial

output proﬁling for cycle-accurate ﬁrmware veriﬁcation and rapid fault isolation

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Designed and deployed a deterministic ﬁnite state machine for sensor–actuator orchestration under hard real-time

latency requirements

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Calibrated and corrected high-precision research ﬁrmware using multi-order resloping, baseline/background

compensation, drift mitigation, EMI-hardened diﬀerential telemetry, and rigorous QC to ensure controlled,

noise-resilient experimental data

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Collaborated with a multidisciplinary research team in an access-tiered R&D lab under federal security protocols

Projects

Lux: Tumor Modeling Engine | TypeScript, Expo, React Native Jan. 2025 – May 2025

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Developed a modular tumor progression analysis engine integrating ﬁve parameterized immunotherapy and growth

models (Gompertz, Shannon entropy, Michaelis-Menten, CTL/CD8+, CTL-CD4+) with real-time diﬀerential

equation solvers and cellular response classiﬁers embedded in a mobile forecasting interface for iOS and Android

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Designed and deployed multiple APK binaries using EAS and Expo Go (prototype beta tested by multiple users),

merged with REST API handling to fetch JSON metadata and computation models

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Authored a scientiﬁc whitepaper outlining Lux’s tumor modeling architecture, entropy normalization strategies,

and proposed extensions for graph-theoretic PPI-based metastasis forecasting

Omni: Encrypted Medical Ledger | C++, SHA3-256 May 2024 – Oct. 2024

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Implemented a custom cryptographic ledger in C++ to log and encrypt cytogenetic and oncological patient proﬁles

using SHA3-256 hashing and node-based address generation

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Engineered modular cryptographic routines to enforce data immutability and simulate adversarial mutation

scenarios in a low-memory, latency-sensitive execution environment

IntCom: Collegiate Community Explorer | HTML/CSS, Firebase, Node.js Sep. 2023

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Deployed a content hosting platform using Node.js and Firebase with SSL-backed HTTPS endpoints for secure data

delivery and uptime reliability; achieved ﬁnalist among 19 teams in a software engineering competition

UrbanX: Refugee Social Networking App | Java, Gradle, XML, Android Studio Feb. 2021 – May 2021

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Developed a native Android application in Java and XML to support resilient social infrastructure for Canadian

refugee communities, optimizing Gradle build pipelines for accelerated compile-time performance and implementing

a custom UI/UX stack via Figma-to-XML conversion workﬂows; awarded Best Designed App for navigational and

visual design

Technical Skills

Languages: C, C++, Python, Java, Fortran, MIT/GNU Scheme, Bash, SQL, x86, Verilog

Frameworks & Libraries: React, Node.js, Pandas, NumPy, Matplotlib, OpenCV, Arduino, CMake

Developer Tools: Linux, GNU Toolchain, ModelSim, Qt, Git, Firebase, Gradle, Maven, Jupyter, Ollama

Embedded Systems: Renesas RA4M1, ESP32-S3, ATmega328P, Arm Cortex-A53, ADS1X15, RS232

Research Instrumentation: AAS, TOC Analyzer, XRF, XRD, GC, ICP-OES, Raman Microscopy, PVD, SEM