
Eliasse Tiao developed the initial implementation of a student-focused platform in the Ishangoai/AIMS_course repository, delivering an MVP that combined AI-driven chatbot features with Google Search integration and robust data tooling. Using Python, FastAPI, and Dagster, Eliasse established user management, expression evaluation endpoints, and a data pipeline for ingestion, cleaning, and aggregation. The platform included an ML pipeline for temperature forecasting with MLflow experiment tracking, addressing student workflow and forecasting needs. Eliasse also integrated Gradio-based text and image utilities into the FastAPI app, enhancing usability through UI/UX improvements and ensuring code quality by resolving linting issues for maintainability.

Month: 2025-10 — Summary: Delivered MVP for a student-focused platform with AI and data tooling, improved UI polish, and stronger code quality. Established foundation for student workflows, data ingestion/processing, and forecasting capabilities, enabling accelerated feature delivery and measurable business value.
Month: 2025-10 — Summary: Delivered MVP for a student-focused platform with AI and data tooling, improved UI polish, and stronger code quality. Established foundation for student workflows, data ingestion/processing, and forecasting capabilities, enabling accelerated feature delivery and measurable business value.
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