Resume

Project Name: MSI Project | Client Name: Larsen & Tourbo
I led the development of the software requirements specification (SRS) for a complex project that involved multiple MSI modules in my previous role. As part of that effort, I created five UML design diagrams to help visualize and communicate the system architecture and functionality to stakeholders.
Project Name: Secure Bank | Client Name: Banking Sector
Collaborated with cross-functional teams to design and launch a new AI-powered product, resulting in a 15% increase in revenue for the company. Developed a comprehensive AWS False Key detection system utilizing Logistic Regression and Natural Language Toolkit LSTM models to achieve accuracy rates of 75% and prototype accuracy rates of up to 95%, improving security measures by flagging false keys with an accuracy rate of 91%.

Automated the data pre-processing pipeline to handle a large number of satellite images and reduced processing time by 60%, enabling faster model iteration cycles. Enhanced the performance of the image detection algorithm by implementing a new methodology using Convolutional Neural Networks with RPN, resulting in a 40% increase in accuracy for identifying buildings and water bodies.