David Cheng

At StudyStudio, I contributed across the full stack to build intelligent productivity tools for students: Built customizable dashboards with real-time updates, implementing both frontend and backend using Node.js and TypeScript. Improved the MongoDB schema and data persistence layer to stabilize account creation and ensure consistent progress tracking. Led key development for SmartPlanner, an AI-driven scheduling engine integrating heuristic optimization, ML models, and LLMs. Developed the SmartPlanner calendar module, supporting task creation, completion tracking, and syncing with external platforms such as Canvas and Google Calendar.

During my internship at Sunwoda, I worked on applying machine learning to real manufacturing data: Improved precision of a product-performance prediction model from 93% → 98% by developing and evaluating multiple PyTorch models. Led an end-to-end defect-rate detection project, including data cleaning, feature engineering, model selection, and evaluation. Delivered the first production-ready defect detection model with 94% precision, meeting internal requirements and collaborating closely with product and manufacturing teams.

GPA: 3.8/4.0 Relevant coursework: Linear Algebra, Python, Data Analyst, Java, Web development, Software Engineering.