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Boris Chan

@borischan

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AI and embedded systems engineer focused on computer vision and predictive modelling.

United Kingdom

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What I'm looking for

I seek an AI engineering role applying research-driven problem solving to deploy scalable, reproducible computer-vision and embedded AI systems within a cross-functional team.

I am a motivated Artificial Intelligence and Electronic Engineering graduate with hands-on experience building Python-based AI solutions for real-world problems. I focus on computer vision, deep learning, and embedded systems to create robust, reproducible tools.

My research includes developing a non-contact wound measurement system using SAM2 and OpenCV for segmentation, measurement and colour analysis, alongside exploring ethics and reproducibility in medical AI. I also build and optimise predictive models for electricity consumption using regression and time-series methods.

I have practical experience with STM32 microcontroller development, PCB design, VHDL, and integrating hardware–software systems, complemented by strong signal processing and control-systems foundations. I have delivered high academic performance, including top marks in Digital Signal Processing.

I communicate technical concepts clearly, enjoy debugging complex systems, and seek to apply research-driven problem solving within cross-functional engineering teams to deploy scalable intelligent systems.

Experience

Work history, roles, and key accomplishments

Current

Forecasting Researcher

Current

University of Bristol

Sep 2025 - Present (3 months)

Building and optimising predictive models and time-series approaches to forecast household electricity consumption, performing data cleaning, evaluation with MAE/MSE/RMSE, and large-scale dataset visualisation.

Time Series Python regression MAE Data Cleaning Model Evaluation Data Visualization

Computer Vision Researcher

University of the West of England

Sep 2024 - Jun 2025 (9 months)

Developed a non-contact wound measurement system using computer vision and deep learning, applying SAM2 and OpenCV for segmentation, measurement, and colour-based analysis with documented Python code and patient-data ethics considerations.

Python OpenCV Deep Learning data preprocessing

Education

Degrees, certifications, and relevant coursework

University of Bristol

Master of Science, Internet of Things with AI

Activities and societies: Capstone project; Skate Society; DJ Society

MSc in Internet of Things with AI focusing on applied machine learning, IoT system prototyping, sensing and actuation, and an engineering capstone project.

University of the West of England

Bachelor of Engineering, Electronic Engineering

Grade: First Class

Activities and societies: Microcontrollers Applications Group Lab; Group Design and Integration Project; Engineering Project; Highest grade in Digital Signal Processing (85%); Hong Kong society

Bachelor of Engineering in Electronic Engineering with strong coursework in signal processing, control systems, digital design, and embedded systems; achieved First Class overall with Second Class in Year 2 and a top mark in Digital Signal Processing.