Emre Aslan

Computer Vision & Software Engineer combining a strong Electrical & Electronics Engineering background with deep expertise in PyTorch, YOLO, and OpenCV. Specializes in designing robust vision pipelines, medical image segmentation, and edge deployment while developing scalable full-stack software with React, TypeScript, and FastAPI. Passionate about bridging hardware and algorithms to deliver high-performance, real-time intelligent applications.

AI Engineer (Internship) at Bluesense (2026-07 – 2026-08)

• Engineered an end to end computer vision pipeline for automated facial skin lesion detection and tissue segmentation.
• Benchmarked state of the art instance segmentation architectures (YOLOv8-seg, YOLO11-seg), balancing clinical contour precision with mobile latency.
• Exported production models via ONNX Runtime, enabling efficient, real-time edge inference on mobile client applications.

Support Engineer (Part-time) at Jotform (2025-12 – 2026-06)

• Engineered scalable web apps using React.js, JavaScript, and TypeScript.
• Designed reusable, component-based architectures and optimized application state utilizing Redux.
• Streamlined development lifecycles by leveraging CI/CD workflows.

Software Developer (Internship) at Jotform (2025-08 – 2025-12)

• Co-developed "SmartTag" (Internship Project), an AI-powered tool for automated, content-based submission tagging.
• Built the React interface for AI prompt inputs, collaborating on backend integration.

Bachelor's Degree in Electrical and Electronics Engineering – Bursa Technical University (2026-07)