Cloud-Based Time Tracking Platform with ML/NLP

As R&D Technical Architect for CEMC, I led the development of Cloud-Based Time Tracking Platform with ML/NLP, Advanced cloud-based time tracking platform marrying Machine Learning and natural language processing for peak accuracy and efficiency

This project represents a significant achievement in Cloud Platform/ML, leveraging cutting-edge technologies including React JS, Next JS, OpenAI, NodeJS, Express to deliver enterprise-scale solutions that drive measurable business impact.

Project Scope

The project encompassed 5 major deliverables, including QuickBooks and OpenAI API integration, Machine Learning NLP interface for SMS interactions, Real-time managerial dashboard. Working within CEMC's ecosystem, I was responsible for the complete technical architecture, implementation, and successful delivery of this mission-critical solution.

Technical Excellence

The implementation demonstrates expertise in modern software engineering practices, including scalable architecture design, performance optimization, security best practices, and maintainable code structures. This project showcases my ability to translate complex business requirements into robust technical solutions that deliver value.

Impact

This project delivered significant value to CEMC, improving operational efficiency, reducing costs, and enabling new capabilities that were previously impossible. The success of this implementation demonstrates my capability to lead complex technical initiatives from conception through deployment and ongoing support.