Mert Akcakaya

Thanks to its horizontally scalable design, Kraken is an IoT middleware that can connect thousands of connected devices.

RFID, barcode, and Bluetooth devices are connected to local nodes to form a network of parallel computation network. Inputs are analyzed, persisted, and distributed to different integration channels such as SAP.

It can track assets and personnel, determine the directionality of a moving object, take stocks, and much more.

Device management, device connectivity, notifications, and integrations are managed in a web application.

Kraken is used by the largest manufacturers, banks, and city hospitals in Turkey to automate their processes using IoT.

I was a partner of the company and acted as the architect, team leader, and product manager of the system.

Detaware is a suite of applications and services that allows the assets to be created and tracked using IoT technologies like RFID and barcode. It has integrations to applications like SAP and Logo so that asset tracking information is always in sync.

It reduces human error dramatically and speeds up the tracking and inventory-taking process by more than 95%. It achieves hundreds of assets to be inventoried per second.

Detaware is used by the largest banks, universities, and manufacturers in Turkey.

Matrix Warehouse is the first and most advanced IoT-enabled warehouse system that automates warehouse operations without human intervention. It prevents incorrect order deliveries, violation of FIFO rules, violation of workplace security practices, and greatly increases the visibility of operations in the warehouse.

A custom-designed IoT system consisting of RFID technology and sensors is installed on forklifts, and RFID tags are installed on warehouse addresses and goods. The systems on the forklifts communicate with a central system that aggregates all the data, process it, and integrates with ERP solutions like SAP.

Matrix Warehouse is used by more than ten factories of Şişecam in Turkey, Russia, and Europe.

Markarar is a system that allows the user to scan the barcode of a product using a smartphone and provides information about the product, the prices, and the user reviews.

The data is gathered through an innovative scraping method. The user's smartphone gets the scrape job, processes it, and sends the scraped data to the server. This prevents blocking of the server IP address due to an excessive amount of scraping requests.

Acted as the founder, designer, and developer of the system. I also managed a team of three for advertising and UI/UX design.

Defined.ai is a crowdsourcing platform that pays the crowd for training AI models. I was responsible for designing and implementing payment processes for the crowd members.

I researched and developed payment integrations for PayPal and Payoneer. I optimized the microservice to increase the throughput dramatically.

I designed and implemented a caching system in front of Google Matrix API to reduce the cost and the response time.

The caching system consistently produces response times under 100 milliseconds for more than 99% of requests and reduces the cost by 90%.

As a team leader, I was responsible for developing and supporting a highly complex speech analytics web application and back-end services.

I introduced training sessions for developers, conducted job interviews, and evaluated employee performances.

Also, I profiled the application and the services to find and fix performance issues as the services consumed huge amounts of real-time streaming data.

I designed and implemented new features. I migrated the legacy monolithic application into a new microservice architecture and updated the framework and library dependencies.

The system was used by the largest banks and telecommunication companies in Turkey, Europe, Russia, and Africa.