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I am a Master of Engineering student at the University of Waterloo, actively applying my knowledge in AI and software development through internships at Huawei and Nimbus Remote. I enjoy turning data into actionable insights and building robust, scalable systems using Python, Java, and modern web technologies. I'm a collaborative team player who embraces agile practices and continuous learning. I thrive in fast-paced environments, love problem-solving, and am motivated to contribute to impactful projects in software development, ML, and data processing.…I am a Master of Engineering student at the University of Waterloo, actively applying my knowledge in AI and software development through internships at Huawei and Nimbus Remote. I enjoy turning data into actionable insights and building robust, scalable systems using Python, Java, and modern web technologies. I'm a collaborative team player who embraces agile practices and continuous learning. I thrive in fast-paced environments, love problem-solving, and am motivated to contribute to impactful projects in software development, ML, and data processing.

Yijun (Sam) Sun

Data Scientist, AI Developer, Full Stack Developer, +2

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I am a Master of Engineering student at the University of Waterloo, actively applying my knowledge in AI and software development through internships at Huawei and Nimbus Remote. I enjoy turning data into actionable insights and building robust, scalable systems using Python, Java, and modern web technologies. I'm a collaborative team player who embraces agile practices and continuous learning. I thrive in fast-paced environments, love problem-solving, and am motivated to contribute to impactful projects in software development, ML, and data processing.…I am a Master of Engineering student at the University of Waterloo, actively applying my knowledge in AI and software development through internships at Huawei and Nimbus Remote. I enjoy turning data into actionable insights and building robust, scalable systems using Python, Java, and modern web technologies. I'm a collaborative team player who embraces agile practices and continuous learning. I thrive in fast-paced environments, love problem-solving, and am motivated to contribute to impactful projects in software development, ML, and data processing.

Available to hire

I am a Master of Engineering student at the University of Waterloo, actively applying my knowledge in AI and software development through internships at Huawei and Nimbus Remote. I enjoy turning data into actionable insights and building robust, scalable systems using Python, Java, and modern web technologies.

I’m a collaborative team player who embraces agile practices and continuous learning. I thrive in fast-paced environments, love problem-solving, and am motivated to contribute to impactful projects in software development, ML, and data processing.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Intermediate

Intermediate

Language

English

Fluent

Work Experience

AI Software Development Intern at Huawei

June 1, 2025 - August 1, 2025

Contributed to time-series forecasting to diagnose unstable internet connections, reducing connection-related complaints by 17%. Preprocessed raw logs to handle missing values (~14%), grouped records by object ID for clean input, and analyzed covariance and residuals across 63,000 value pairs to identify drivers of instability. Achieved a 6.7% improvement in diagnostic accuracy over open-source baselines, validated via manual analysis and adopted by the team.

Data Scientist Intern at Nimbus Remote

March 1, 2025 - May 1, 2025

Audited delivery dataset for schema, missing-value patterns, and duplicates/outliers, resulting in a ~40% reduction in data size. Engineered 8+ new features (time-based and review-derived) to expand the feature space for experiments. Built CTR analyses across temporal dimensions to inform campaign scheduling. Applied K-Means to segment engagement behaviors and delivered a reproducible GitHub workflow that improved review efficiency by ~50%.