Hedi (Mohamed) Elfkir-AI Engineer
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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 Information Technology, Product Development, and Research and 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
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