
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. Leveraged Python, FastAPI, and Dagster to build user management, expression evaluation endpoints, and a data pipeline for ingestion, cleaning, and aggregation. Integrated Gradio-based utilities for text manipulation and image editing directly into the FastAPI app, enhancing usability through UI/UX improvements. Established an ML pipeline for temperature forecasting with MLflow experiment tracking, laying the groundwork for future student workflows and data-driven features while improving code quality and maintainability across the project.
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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