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Anatolii ChetrafilAC

Anatolii Chetrafil

Computer Vision Lead. AI Model Audit

€150/day
Oslo, NO
3-7 years

Average response time: 1 hour

About Anatolii

  • English

    Native or bilingual

  • Norwegian

    Conversational

  • Swedish

    Basic

  • Russian

    Fluent

  • Ukrainian

    Fluent

  • Bulgarian

    Basic

Remote only
Primarily works remotely

Experience

  • TaskFlock
    AI Model Audit & Computer Vision Lead (Founder)
    E-COMMERCE
    January 2024 - Today (2 years and 5 months)
    Oslo, Norway
    TaskFlock — a CV/data annotation team. I lead delivery from data → model → edge deployment.

    What I do:
    • 72-hour AI Model Audit: FP/FN error map, one acceptance rule (metric+threshold), 3–5 quick wins, mini demo.
    • Monthly Model Care: hard-case mining, re-training and releases (1–2/mo), “errors-to-watch” report.
    • SKU Onboarding ($99): photo/video pack, annotation (bbox/track/events), micro-calibration, test clip (24–48h).

    Stack & methods:
    • Labeling: CVAT, Label Studio, Roboflow (bbox, polygon, masks, keypoints, tracking). QC: double pass, IAA ≥95%.
    • Data formats: COCO, YOLO, Pascal VOC; video chunks, event timelines.
    • Training: PyTorch, YOLOv5/v8, Detectron2; metrics mAP/F1; augmentations.
    • Edge/opt.: ONNX, TensorRT, quantization (FP16/INT8), Jetson/CPU, RTSP pipelines.
    • Security: NDA/DPA, work in client VPC/on-prem. White-label friendly.

    Results:
    • Retail/CCTV pilots: −30–40% false alarms, +10–25% accuracy lift; weekly releases.
    • Team capacity: 6 annotators + QA lead (100k+ labels/day peak).

    Available for: 72-hour Audit • Monthly Model Care • SKU Onboarding • Starter Packs (retail/CCTV/smart devices).

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