Cogitative Furniture Classifier Bot (Computer Vision)

As Chief Technologist for Saigan-Tech, I led the development of Cogitative Furniture Classifier Bot (Computer Vision), Multiple object image recognition platform utilizing Recurrent Neural Networks for furniture classification

This project represents a significant achievement in Computer Vision/AI, leveraging cutting-edge technologies including Angular 5, TensorFlow, Python Image, Jupyter Notebook, CUDA to deliver enterprise-scale solutions that drive measurable business impact.

Project Scope

The project encompassed 4 major deliverables, including Advanced computer vision implementation, Multiple object recognition capabilities, Neural network model training and optimization. Working within Saigan-Tech'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 Saigan-Tech, 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.