
Worked on the belgio99/smartfactory repository to deliver prompt classification and KPI-driven analytics workflows using Python and Jupyter Notebook. Developed an end-to-end system that classifies user prompts with a Gemini 1.5 API, generates labeled datasets, and integrates a query generator for KPI engine and predictor API calls. Enhanced the backend by improving query generation, handling ambiguous KPIs, and supporting report creation. Addressed stability through robust error handling, parser improvements, and comprehensive bug fixes. Refactored code structure for maintainability and added extensive documentation and code comments, resulting in a scalable, testable foundation for analytics, reporting, and time series analysis.
Month: 2024-12 — Delivered KPI-driven improvements, robust query generation, and reliability enhancements in belgio99/smartfactory. Key features shipped include Query Generation Improvements with ambiguous KPI handling, KPI Engine integration with predictor and post-processing checks, and report generation support. Major bug fixes addressed stability issues in KPI retrieval, parsing, class consistency, and prompts. These efforts yield stronger business value through more accurate KPI-based queries, reliable time-window predictions, and improved readiness for analytics and reporting.
Month: 2024-12 — Delivered KPI-driven improvements, robust query generation, and reliability enhancements in belgio99/smartfactory. Key features shipped include Query Generation Improvements with ambiguous KPI handling, KPI Engine integration with predictor and post-processing checks, and report generation support. Major bug fixes addressed stability issues in KPI retrieval, parsing, class consistency, and prompts. These efforts yield stronger business value through more accurate KPI-based queries, reliable time-window predictions, and improved readiness for analytics and reporting.
Month 2024-11 Key Deliverable: Prompt Classification and KPI Engine Integration for RAG in belgio99/smartfactory. Implemented an end-to-end notebook workflow that classifies user prompts into labels (predictions, new_kpi, report, kb_q, dashboard, kpi_calc) using a Gemini 1.5 few-shot API. Generated and tested labeled datasets, introduced a query generator to build KPI engine/predictor API calls, and refined validation datasets and notebook examples. Reorganized notebooks under a classifier subdirectory to support RAG enhancements and future KPI integration, establishing a scalable foundation for KPI-driven analytics.
Month 2024-11 Key Deliverable: Prompt Classification and KPI Engine Integration for RAG in belgio99/smartfactory. Implemented an end-to-end notebook workflow that classifies user prompts into labels (predictions, new_kpi, report, kb_q, dashboard, kpi_calc) using a Gemini 1.5 few-shot API. Generated and tested labeled datasets, introduced a query generator to build KPI engine/predictor API calls, and refined validation datasets and notebook examples. Reorganized notebooks under a classifier subdirectory to support RAG enhancements and future KPI integration, establishing a scalable foundation for KPI-driven analytics.

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