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Logan Wong
Entry Machine Learning Engineer specializing in AI and reinforcement learning
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About
Early-career software/ML candidate with hands-on experience spanning full-stack product work at Carrier and multiple AI-heavy academic projects. Particularly interesting for teams exploring applied ML: they built a reinforcement-learning-based movie recommender with LIME/SHAP explainability and benchmarked it against a DDPG baseline, while also having practical React/Next.js and Django/Postgres experience.
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Key Strengths
- Full-stack web development across React, Next.js, Django, and PostgreSQL
- Built API functionality for extracting and displaying data from PDF blobs
- Applied reinforcement learning to recommendation systems
- Implemented explainability for AI recommendations using LIME and SHAP
- Improved recommendation metrics by 0.1 over a DDPG baseline on Precision@k and NDCG@k
- Strong experimentation and evaluation mindset with ML metrics
- Able to work through ambiguous research problems and incomplete papers
- Communicates complex AI concepts to non-technical audiences
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