Benjamin Pikus
Research Scientist at Luma AI
San Francisco, California, United States
Summary
👤
Senior🎓
Top SchoolBenjamin Pikus is a research scientist with a decade of experience applying machine learning to computer vision, specializing in interpretability and self-supervised learning. He has moved between startups and research-focused roles—building ML-in-the-loop labeling and multimodal generative systems at Scale AI, founding synthetic data efforts to boost industrial vision models, and now advancing research at Luma AI. His work spans applied healthcare and rehabilitation (founding MoTrack Therapy) to overhead imagery, few-shot learning, and OOD detection, reflecting a rare blend of biomedical training and production ML. Benjamin combines rigorous academic grounding from Johns Hopkins with hands-on engineering that ships models and tooling in real-world pipelines. An often-overlooked strength is his cross-domain fluency: he translates laboratory experimental design into practical data strategies for robust model generalization.
11 years of coding experience
9 years of employment as a software developer
Johns Hopkins University
Github Skills (39)
object-tracking10
pytorch10
python10
image-classification10
semantic-segmentation10
machine-learning10
yolov810
deep-learning10
instance-segmentation10
pose-estimation10
object-detection10
computer-vision10
ultralytics10
calculator8
video-processing7
Programming languages (4)
Github contributions (5)
Pikus16/grpo_difficulty
May 2025 - Oct 2025
Contributions:201 pushes, 1 branch in 5 months
Pikus16/LossLandscapePapers
Jul 2021 - Sep 2022
Contributions:18 commits, 17 pushes, 1 branch in 1 year 2 months
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