Max Ahn
Lean Portfolio Management Advisor at Amazon Web Services (AWS)
Seoul, South Korea
Summary
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RockstarMax Ahn is an Engagement Manager and technical program leader based in Seoul with 4 years in senior program roles and over a decade managing cross-disciplinary engineering teams. He brings deep expertise in computer vision, machine learning, and end-to-end AI platform delivery, having led a 100-person global AI software program across 10+ countries and shipped both on-prem and SaaS offerings. Max is proven at crisis management and rapid mitigation—once stabilizing delivery after a sudden 30% team loss within 24 hours—and has driven adoption by launching a Geti SaaS free trial to 1,500+ users. He blends agile execution, legal/compliance awareness, and secure, scalable development practices, and has overseen top-ranked open-source CV projects like Anomalib and Datumaro on Intel’s platform. Now at AWS, he continues to bridge product, security, and validation teams to translate research-grade CV/ML into production-ready solutions. Notably, his background spans UX and product design, giving him an uncommon ability to align engineering, business, and user experience.
5 years of coding experience
6 years of employment as a software developer
Korean, English
Github Skills (26)
pytorch10
image-classification10
incremental-learning10
machine-learning10
openvino10
semi-supervised-learning10
nvidia10
image-segmentation10
self-supervised-learning10
automl10
raw-image10
quantization10
object-detection10
computer-vision10
transfer-learning10
Programming languages (2)
Github contributions (3)
openvinotoolkit/openvino_testdrive
Nov 2024 - Feb 2025
With OpenVINO Test Drive, users can run large language models (LLMs) and models trained by Intel Geti on their devices, including AI PCs and Edge devices.
Contributions:3 reviews in 3 months
ailarge-language-modelsopenvino
open-edge-platform/geti
Sep 2021 - Feb 2025
Build, train, optimize, and run computer vision models locally, from raw images to live inference. Open source, with CPU, Intel XPU, and NVIDIA CUDA support.
Contributions:1 review, 1 comment in 3 years 5 months
computer-visioncudainferencenvidiaraw-image
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