Filip Drapejkowski
Lead Machine Learning Engineer at GlobalLogic
Wroclaw Metropolitan Area Poland
Summary
👤
Senior🎓
Top SchoolFilip Drapejkowski is a Lead Machine Learning Engineer with 11 years of experience, specializing in computer vision research and production-grade deployment across cloud, browser, and embedded/IoT environments. He spends roughly 60% of his time on deep learning for vision and 40% on engineering, delivering low-latency models (e.g., ADAS deidentification at 95.8% mAP and 2.5ms latency) and end-to-end pipelines on Sagemaker, ONNX, ROS2 and edge devices. His background spans porting and optimizing architectures for novel hardware (analog chips, 8-bit DSPs), large-scale data collection and labeling workflows, and model monitoring with PySpark, showing a rare mix of research-grade results and pragmatic productionization. Based in Wrocław, he pairs technical leadership with hands-on coding (practices algorithms on HackerRank) and brings hobbies like climbing, drones and motorcycling that reflect a pragmatic, risk-aware problem-solving style.
11 years of coding experience
5 years of employment as a software developer
Inżynier, Computer Science, Inżynier, Computer Science at Politechnika Wrocławska
Github Skills (99)
python10
annotations10
deep-learning10
labeling10
imagenet10
ml10
face-recognition10
neural-network10
object-detection10
computer-vision10
annotate10
data-science10
tensorrt10
semantic-segmentation10
nvidia10
Programming languages (6)
Github contributions (5)
Huxwell/ColabNNs
Dec 2022 - Feb 2023
Contributions:52 commits, 56 pushes, 1 branch in 2 months
Huxwell/CTPN
Jul 2017 - Dec 2022
Contributions:8 pushes in 5 years 5 months
pytorchnlptext-detectingdeep-learningdetecting
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