University of Calgary
Master of Engineering, Mechanical and Manufacturing Engineering
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I am a Java Full-Stack Software Engineer with 3+ years of professional experience building data-intensive applications at TD Bank, including financial reporting systems, fraud detection pipelines, and AI-enhanced platforms. While I do not have direct experience in data labeling or AI training data, my background has given me a strong foundation in working with large datasets, ensuring data accuracy and quality, and building systems that feed into automated and AI-driven workflows. I have worked extensively with SQL, Python, and Java to process, validate, and optimize data pipelines, skills that translate directly into structured data annotation and quality assurance tasks. Beyond technical skills, I bring a detail-oriented mindset shaped by high-stakes financial environments where data accuracy is non-negotiable. At TD Securities, I regularly performed root cause analysis on data discrepancies, enforced quality standards through TDD practices, and collaborated cross-functionally to define clear requirements in ambiguous scenarios. Additionally, my personal project, an AI-enhanced journaling app, exposed me to integrating machine learning APIs and thinking critically about how data is structured to produce meaningful AI outputs. I am eager to bring this analytical precision and curiosity about AI systems to data labeling and training data work.
Kelechi I. hasn’t added any AI Training or Data Labeling experience to their OpenTrain profile yet.
Master of Engineering, Mechanical and Manufacturing Engineering
Bachelor of Engineering, Mechanical Engineering
Java Full-Stack Software Engineer II
Java Full-Stack Software Engineer