
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, tracked with MLflow, and integrated Gradio-based utilities for text and image processing, all with enhanced UI/UX design. Eliasse’s work emphasized code quality and maintainability, laying a strong foundation for future 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.
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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