Hedi (Mohamed) E.-AI Engineer
Check rate
Experience
AI Engineer
Oteo Teknoloji
- Shipped a high-throughput video analytics platform handling 300+ surveillance streams (YOLO, MMDetection), ingesting 2TB+ daily with 24/7 reliability.
- Served TensorRT-optimized models via NVIDIA Triton with dynamic batching; sub-100ms latency behind Dockerized REST services.
- Instrumented Prometheus/Grafana dashboards (GPU utilization, throughput, tail latency) to reduce downtime by 40%.
- Built SAM2+CVAT annotation workflow for rapid dataset bootstrapping from long-form video.
- Led clinician-in-the-loop prototyping for CTA aneurysm detection; managed experiments on a self-hosted MLflow.
Research Fellow
Koç University
- Introduced DINO-based ViT matching loss for Pix2Pix, achieving 20% faster convergence with improved fidelity.
AI Engineer — TÜBİTAK 1501: Brain MR
Titra Teknoloji
- Customized ResUNet++ for volumetric segmentation on 3D TOF-MRA; pipelines with PyTorch, MONAI, TorchIO.
- Standardized MR processing with NiBabel, SimpleITK, MedPy (normalization, resampling, skull stripping).
- Trained with AMP and cross-validation; achieved 85% sensitivity with 0.4 false positives per patient.
- Experiment tracking and hyperparameter tuning via TensorBoard and Weights & Biases.
Research Fellow
Hacettepe University
- ST360IQ: Spherical ViT-based no-reference IQA for 360°; PLCC up to 0.98, SRCC up to 0.97; ATSAL integration boosted metrics +2–3%, -20% runtime.
- LGT360IQ: Local–global transformer with adaptive token selection; -17M params, +2% PLCC/SRCC across multiple benchmarks.
AI Engineer Intern — Spine Implant Classification
Launchpad AI
- Built DETR-based localize+CNN classify pipeline in PyTorch for implant identification from X-rays; reduced manual workload by 43%.
- Robust preprocessing using OpenCV/Albumentations; reporting with TensorBoard/Jupyter.
Industry experience
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Experienced in Healthcare, Education, and Information Technology.
Business area experience
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Experienced in Research and Development, Information Technology, and Product Development.
Skills
- Programming: Python, C++, Java
- Mlops: Docker, Nvidia Triton, Tensorrt, Rest Apis
- Ml/Dl: Pytorch, Tensorflow, Monai, Torchio, Vision, Mlflow, Tensorboard, W&B
- Transformers/Detection: Transformers, Yolo, Mmdetection
- Ops/Monitoring: Prometheus, Grafana
- Cv/Imaging: Opencv, Simpleitk, Nibabel, Medpy, 3d Slicer, Cvat, Sam2
Languages
Education
Hacettepe University
B.Sc. in Computer Engineering · Computer Engineering · Ankara, Turkey · 3.55/4.00
Statistics
Experience
Global experience
Expertise
Qualifications
Profile
Frequently asked questions
Have questions? Find more information here.
Hedi is based in Ankara, Turkey.
Hedi speaks the following languages: Arabic (Native), French (Native), English (Advanced), Turkish (Advanced).
Hedi has at least 4 years of experience. During this time, Hedi has worked in at least 4 different roles and for 5 different companies. The average length of individual experience is 1 year and 10 months. Note that Hedi may not have shared all experience and actually has more experience.
Based on recent experience, Hedi would be well-suited for roles such as: AI Engineer, Research Fellow, AI Engineer — TÜBİTAK 1501: Brain MR.
Hedi's most recent position is AI Engineer at Oteo Teknoloji.
In recent years, Hedi has worked for Oteo Teknoloji, Koç University, Titra Teknoloji, Hacettepe University, and Launchpad AI.
Hedi is most experienced in industries like Healthcare, Education, and Information Technology.
Hedi is most experienced in business areas like Research and Development, Information Technology, and Product Development.
Hedi holds a Bachelor in Computer Engineering from Hacettepe University.
The availability of Hedi needs to be confirmed.
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The median daily rate is the middle value of all daily rates — half of comparable freelancers charge less, half charge more. Unlike the average, it is barely affected by outliers.
Calculated based on our freelancers’ daily rates as of 7 Sep 2026. Actual rates may vary depending on seniority level, experience, skill specialization, project complexity, and engagement length.
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