
Ceriolide developed a deployment-ready time-series analytics and data processing stack for the belgio99/smartfactory repository, focusing on scalable KPI insights and robust forecasting. Leveraging Python, FastAPI, and Docker, Ceriolide implemented modules for KPI characterization, SARIMA-based forecasting, and a Dockerized API for data processing. The work included ARIMA modeling, data preprocessing, and integration of database-backed model management, with attention to error handling and code organization. Over two months, Ceriolide enhanced reliability through Dockerfile corrections, improved API security with key verification, and prepared the system for public testing, demonstrating depth in backend development, machine learning integration, and maintainable codebase structuring.

December 2024 – belgio99/smartfactory focused on improving reliability, security, and readiness for ML deployments, while laying the groundwork for future model integration and public testing. Key container reliability, data handling, and documentation improvements were delivered alongside security enhancements and ops cleanup, driving more predictable builds, safer API interactions, and clearer project onboarding for external verification.
December 2024 – belgio99/smartfactory focused on improving reliability, security, and readiness for ML deployments, while laying the groundwork for future model integration and public testing. Key container reliability, data handling, and documentation improvements were delivered alongside security enhancements and ops cleanup, driving more predictable builds, safer API interactions, and clearer project onboarding for external verification.
November 2024 (belgio99/smartfactory) delivered a cohesive, deployment-ready time-series analytics and data processing stack with a clear path to production. The work emphasizes business value: faster KPI insights, reliable forecasting, and a scalable data-processing API, under a cleaner and more maintainable codebase.
November 2024 (belgio99/smartfactory) delivered a cohesive, deployment-ready time-series analytics and data processing stack with a clear path to production. The work emphasizes business value: faster KPI insights, reliable forecasting, and a scalable data-processing API, under a cleaner and more maintainable codebase.
Overview of all repositories you've contributed to across your timeline