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AI Engineer with 4+ years in Machine Learning and Data Engineering.
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Highly skilled PhD (Electrical Engineering) data scientist and ML engineer with 4.5+ years of combined full-time and internship experience. Proven ability to design, build, and deploy machine learning systems for practical business problems, achieving high accuracy in prediction and classification tasks. Expertise spans NLP, anomaly detection, time-series forecasting, and LLM applications, with strong proficiency in Python, SQL, and cloud platforms like AWS and Azure.
University of Victoria
PhD · Electrical Engineering
August 1, 2018 – June 30, 2026
University of Victoria
Master of Engineering
August 1, 2015 – June 30, 2017
Tianjin Normal University
Bachelor of Management
August 1, 2011 – June 30, 2015
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Cultural Fit Analysis
The candidate has a diverse background spanning logistics, automotive, power systems, and network security, demonstrating adaptability and a broad interest in applying AI/ML across different domains. The mix of full-time and internship roles, including research internships, shows a proactive approach to gaining varied experience. The target role of AI Engineer aligns well with the candidate's demonstrated skills in building and deploying ML systems.
Soft Skills & Operational Fit
The candidate's experience descriptions highlight collaboration with operations teams, problem scoping, and validation of outputs, suggesting good communication and operational fit. The human-in-the-loop pipeline development indicates an understanding of practical deployment challenges and continuous improvement.