Tarık Kargıoğlu

A RESTful web API for storing and fetching customer details obtained via an IVR system provided by a 3rd-party company. For the security of sensitive information like identity and credit card numbers, RSA and HSM encryption has been utilized in communications and the database, respectively. Front-end programs inside the company consume the API.

The project focused on the naval vessels' information management and control system. It included system interfaces, the means of communication, and controls of several hardware and software components. I fixed bugs and worked on the design, implementation, tests, and maintenance.

I worked on naval inter-platform communication system software components while conforming to NATO's tactical data link standards. I also fixed bugs and handled the design, implementation, testing, and maintenance.

The project focused on software components of an information management system designed for submarines. The interfaces between hardware and software components were described in technical agreement documents, which were written by multiple teams. Additionally, I handled the implementation and fixed bugs.

A software tool for analyzing nanoelectromechanical sensing systems. The tool enables users to perform stochastic simulations that can substitute physical experiments. I have developed the tool using MATLAB and Simulink. The project was presented at the 18th International Workshop on Nanomechanical sensing.

This project was about deep-learning image recognition, focused on implementing RAM and different versions of DRAM. The models are tested on original and modified versions of MNIST and SVHN datasets. I have implemented the models in Julia.

An anti-drone system comprised of detection, neutralization, and control units. The project started as an undergrad project and evolved into a startup. Along with a five-person team, we designed, developed, and marketed the product.

The detection unit identified drones using visual data and calculated the output with the position of a target drone. We trained deep neural networks using Python. The neutralization unit deployed a jammer with a directional antenna to eliminate the detected drones by distorting their communication. The controlling unit orchestrated the components and the decision-making process, among other things.

The system could send images to the neural network, positioning the antenna according to the detection unit's output and UI within the controlling unit. As the startup's general manager, I was involved in every step of the product's development.

A RESTful service for notifying customers about the privacy policy and other information forms via SMS and e-mail, developed with Java and Spring Boot.

A GUI for the display and confirmation of the forms developed with Angular.