Aysima Merve (Merve) Akkurt
AI & Computer Vision Engineer (Internship & Thesis)
Experience
AI & Computer Vision Engineer (Internship & Thesis)
Codebeex SRL
- Boosted vehicle image processing speeds by 99.6% by architecting a scalable AI backend with FastAPI microservices.
- Improved car part segmentation mAP@50-95 by 32.6% by creating and training on a bespoke, data-centric dataset.
- Slashed inference latency by up to 66% (from 1.5s to 0.5s) via an in-memory caching strategy.
- Reduced CPU inference time by over 60% by converting PyTorch models to the ONNX format for deployment.
- Engineered a novel damage assessment system with 99% accuracy in flagging reusable components.
- Engineered a privacy-preserving module using Florence-2 (OCR) and custom-trained YOLOv11.
BIM Modeler - 3D Modeler
Korfez Engineering
- Generated CityGML-compliant 3D building models for 1000+ structures in Izmir using MicroStation.
- Collaborated with engineers to meticulously validate architectural drawings, ensuring high model consistency and geometric accuracy.
Geomatics Engineering Research
Hacettepe University
- Reduced manual reporting time by approx. 3 hours per project by developing an automated web application.
- Produced LiDAR-based photogrammetric maps for structural monitoring.
Industries Experience
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Experienced in Construction (1.5 years), Education (1 year), Automotive (0.5 years), and Information Technology (0.5 years).
Business Areas Experience
The graph below provides a cumulative view of the freelancer's experience across multiple business areas, calculated from completed and active engagements. It highlights the areas where the freelancer has most frequently contributed to planning, execution, and delivery of business outcomes.
Experienced in Product Development (2 years), Information Technology (1.5 years), Research and Development (1.5 years), and Quality Assurance (1.5 years).
Summary
Computer Vision Engineer specializing in production-ready AI systems. Expert in segmentation, OCR, and model optimization with PyTorch, ONNX, and FastAPI. Delivered key improvements including +32.6%mAP, -66% latency, and -60% CPU time in automotive e-commerce applications.
Skills
- Programming & Scripting: Python, Matlab, Sql (Postgresql, Mysql), Javascript, Html, Css, Uml, Vs Code, Jupyter Notebook
- Ai & Computer Vision Frameworks: Pytorch, Tensorflow, Keras, Scikit-learn, Opencv, Detectron2, Albumentations, Kornia, Transformers (Hugging Face), Langchain, Llm, Rag, Openai Api, Cursor, Numpy, Pandas, Torchvision, Pil
- Specialized Models & Tools: Yolo (V8, V11), Sam, Florence-2, Paddleocr, Tesseract, Cvat, Roboflow
- Geospatial & Mapping Tools: Arcgis, Qgis, Erdas, Agisoft, Postgis, Geospatial Data & Processing
- Deployment & Mlops: Fastapi, Docker, Onnx, Torchscript, Openvino, Git, Github, Gitlab, Uvicorn, Rest Apis, Faiss, Tensorboard
- Technical Concepts: Deep Learning, Machine Learning, Computer Vision, Model Optimization, Real-time Inference, Object Detection, Image Segmentation, Ocr, Nlp, Data-centric Ai
Languages
Education
University of Padua
Master of Science, ICT for Internet and Multimedia · ICT for Internet and Multimedia · Padua, Italy
Hacettepe University
Bachelor of Science, Geomatics Engineering · Geomatics Engineering · Ankara, Turkey
Profile
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