
Developed and delivered an end-to-end AI assistant platform within the Ishangoai/AIMS_course repository, focusing on production-ready deployment and user-centric features. The work included building a chatbot using Langchain and Gradio with Google Search integration, a FastAPI-based user API, and orchestrated data workflows via Dagster for ingestion, cleaning, and aggregation. Machine learning pipelines were implemented for ERA5 data processing, model tuning, and deployment, including a heart disease prediction model. Additionally, a Gradio-powered text analyzer web application was integrated, offering utilities for text manipulation and statistics. Emphasis was placed on UI refinement, maintainable code, and comprehensive documentation throughout development.
Month: 2025-10 - Ishangoai/AIMS_course monthly summary highlighting end-to-end platform delivery, UI integration, and production readiness. Focused on business value, scalable data workflows, and robust APIs with modern ML lifecycle tooling.
Month: 2025-10 - Ishangoai/AIMS_course monthly summary highlighting end-to-end platform delivery, UI integration, and production readiness. Focused on business value, scalable data workflows, and robust APIs with modern ML lifecycle tooling.

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