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Eric Hu

Eric Hu

Machine Learning Developer

Talent
WaterlooMember since October 9, 2026
PythonC#TypeScriptReactRAGClassificationRegressionNumPypandasscikit-learnLightGBMXGBoostMLflowAzureDockerPower BIForecasting
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PythonC#TypeScriptReactRAG

About

Co-architected a production LLM content-generation pipeline for an online forum client, building an automated generate–score–refine loop in Python deployed on Azure with Docker Defined evaluation metrics and built classification-based scoring to measure how human-like generated articles were, raising the human-likeness score by 12.7% over the baseline model Analyzed 500+ articles with pandas and scikit-learn to identify the stylistic features that set human writing apart, guiding model training strategy; tracked experiments with MLflow

Experience

Machine Learning Developer at AltaML (2026-05 – 2026-12)

  • Co-architected a production LLM content-generation pipeline for an online forum client, building an automated generate–score–refine loop in Python deployed on Azure with Docker
  • Defined evaluation metrics and built classification-based scoring to measure how human-like generated articles were, raising the human-likeness score by 12.7% over the baseline model
  • Analyzed 500+ articles with pandas and scikit-learn to identify the stylistic features that set human writing apart, guiding model training strategy; tracked experiments with MLflow
  • Led end-to-end design of a RAG-based news recommendation system, embedding 200+ articles into vector and graph databases for semantic, relationship-aware retrieval
  • Presented system architecture and results to client stakeholders, translating requirements into technical specs

Software Developer Intern at Baker Risk Management (2025-01 – 2025-08)

  • Designed and developed explosion modelling software, improving visualization accuracy and reliability
  • Optimized core features in C#/.NET, improving runtime efficiency by 20%
  • Enhanced graphics rendering realism with C++ libraries, giving end users clearer insights

Software Developer Intern at Dayforce (2023-09 – 2024-04)

  • Developed front-end features and components in React and TypeScript, improving UI/UX
  • Led end-to-end development of a new feature in the company’s positional management logic using C#
  • Designed an algorithm to topologically sort a tree-like structure under space and time constraints, improving efficiency by 20%

Education

Bachelor of Mathematics in Honours Statistics & Pure Math (Double Major) – University of Waterloo (2026-12)

Skills

Machine Learning Developer

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