Mert Akcakaya

Led the modernization and redevelopment of a healthcare management platform used by doctors and laboratorians for issuing and managing laboratory tests.

Rewrote the application from the ground up, transitioning to a modular monolith architecture while updating outdated dependencies to improve maintainability, reliability, and performance. Introduced automated back-end testing, ensuring higher code quality and system stability. Enhanced the platform’s efficiency and scalability, optimizing workflows for healthcare professionals.

Contributed to the development and enhancement of a patient-facing healthcare platform designed for secure user authentication, test result access, and payment management.

Worked on both front end and back end, implementing new features, optimizing performance, and improving maintainability. Led architectural improvements to ensure scalability and security, enhancing the platform’s ability to serve millions of users efficiently.

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.

Led the development of a mission-critical enterprise speech and analytics platform, ensuring high availability, scalability, and system stability for enterprise clients.

Managed a team of developers and support engineers while remaining hands-on in modernizing legacy components, improving system architecture, and optimizing performance.

Diagnosed and resolved complex software issues, significantly reducing support tickets and enhancing platform reliability. Implemented CI/CD pipelines and automated testing, accelerating development cycles and improving software quality.

Conducted internal workshops to upskill team members and enhance productivity.

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.

Designed and developed a barcode-based product information and price comparison application, integrating real-time product data, user reviews, and supermarket pricing. Led all aspects of development, from system architecture to market analysis, ensuring scalability and usability.

Built an Android application with a cloud back end, allowing users to scan barcodes or search for products to retrieve detailed information, allergen warnings, and pricing across multiple supermarkets. Developed a distributed data aggregation system, leveraging user devices to continuously update product details while avoiding server-side limitations.

Conducted market research and feasibility analysis, evaluating adoption challenges and business potential. Ultimately, made a strategic decision to discontinue the project, considering scalability constraints and market conditions.

Developed and optimized high-performance solutions to enhance existing applications and infrastructure. Designed and implemented a caching system for optimizing external API calls, reducing response times to under 150ms and cutting API costs by 95%. Identified and resolved memory leaks in a project management platform, improving system stability and performance.

Migrated version control from SVN to Git, streamlining development workflows and improving collaboration efficiency. Focused on scalability, maintainability, and performance optimizations, ensuring long-term sustainability of critical systems.