leonx99x

Led migration from a monolithic system to a microservices architecture, improving scalability and deployment independence. Designed and implemented backend services using Node.js, Redis, and RabbitMQ. Built real-time communication systems using WebSockets for distributed device coordination. Deployed and operated services on Kubernetes, with full observability (metrics, logs, tracing). Collaborated with cross-functional teams to improve system reliability and performance.

Developed multitenant WebGL 3D corset design software on Unity. Secured AWS infrastructure according to security measures. Deployed a globally distributed HL7 FHIR data infrastructure across multiple AWS regions, ensuring low-latency access and international healthcare interoperability standards.

Designed backend services using Clean Architecture principles. Created Identera Web3 Identity system infrastructure using Hyperledger Indy, a consensus chain, and Hyperledger Aries using DIDcomm, a two way encrypted communication. Led team for developing React-Native mobile app. Created a multi-tenant architecture that enables entities to enter the chain and apply their identity and document grant mechanism using ACA-Py.

Supported in a couple of mobile app projects including android pharmacy software Cepİlaç which had over 500.000 users in that time. Created a Dental Imaging Software. Created a Mobile Phone Microscope for education field. Contributed to scalable system design and backend reliability improvements. Engineered a real-time License Plate Recognition (LPR) system by integrating YOLO (PyTorch) for object detection with AForge.NET for image pre-processing. Optimized image processing speed by implementing direct memory access (DMA) techniques, converting Bitmap data into unmanaged byte arrays to eliminate the overhead of GDI+ objects. Accelerated inference times by developing a custom pipeline that transformed raw digital image data into optimized tensors for the PyTorch model, enabling high-speed categorization in live video streams. Implemented advanced image normalization and noise reduction filters using AForge.NET to increase OCR accuracy under varying lighting conditions. Top 20 among 3000 startups with patented Dental Color Software and Gadget.

Developed backend services integrating C# (.NET) and Node.js systems using microservices architecture. Designed APIs and backend workflows supporting data-intensive applications including data stream pipelines. Worked with AWS infrastructure, focusing on security and performance. Contributed to scalable system design and backend reliability improvements using DDD. Projects: Philip Morris Inventory Tracking System, Bosch Inventory Tracking System, Galatasaray AŞ Card Pass System, YünSA Production Monitoring System with UHF RFID, KordSA Production Monitoring System with UHF RFID, Algida Inventory Tracking System.

Led R&D and backend-oriented software development for forensic and medical imaging products deployed in 80+ countries clients including CIA,FBI. Designed and implemented image processing and analysis algorithms, using OpenCV and Halcon. Contributed to teams for image processing and analysis softwares in multiple fields of medical imaging mainly in dermatology and gynaecology. Projects: Dermatological Imaging System, Gynaecological Imaging System, Multispectral Imaging System in Forensics Sciences, Full Body Scan Dermatological System.