Hedi (Mohamed) Elfkir
AI Engineer
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.
Industries Experience
See where this freelancer has spent most of their professional time. Longer bars indicate deeper hands-on experience, while shorter ones reflect targeted or project-based work.
Experienced in Healthcare (3.5 years), Education (2.5 years), and Information Technology (1 year).
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 Information Technology (3.5 years), Product Development (3.5 years), and Research and Development (3.5 years).
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
Profile
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