Daniela P
Lead Computer Vision Engineer at RoboTwin s.r.o.
Prague, Czechia
Summary
👤
Senior🎓
Top SchoolDaniela P is a Lead Computer Vision Engineer based in Prague with 8 years of hands-on experience building Vision AI and deep learning systems, now focusing on foundation models for embodied AI and robotics. She has led scalable visual recognition projects for the retail and CPG sector, combining synthetic data pipelines with production-ready ML engineering honed at startups. Her background includes research in Graph Machine Learning from her Bachelor’s and Master’s work, giving her a broader view of structured data beyond pure vision. Daniela moves quickly from prototype to deployment, communicating technical trade-offs clearly to stakeholders and optimizing pipelines for both performance and scalability. At RoboTwin she is applying domain-specific foundation models to real-world robotic systems, bridging lab research and operational robotics. Fluent in both research and product engineering, she thrives on turning complex academic ideas into measurable user value.
9 years of coding experience
6 years of employment as a software developer
Bachelor's degree, Computer Science, Bachelor's degree, Computer Science at Technical University of Cluj-NapocaMaster's degree, Artificial Intelligence, Master's degree, Artificial Intelligence at Technical University of Cluj NapocaBachelor's degree, Computer Science, Bachelor's degree, Computer Science at University College Cork
English, French
Github Skills (5)
segmentation4
object-detection3
detectron3
self-supervised-learning2
pytorch1
Programming languages (2)
Github contributions (5)
neurolaboratories/detectron2
Sep 2020 - Sep 2023
Detectron2 is FAIR's next-generation platform for object detection and segmentation.
Contributions:2 reviews, 1 comment in 3 years
detectronobject-detectionsegmentation
ldpalcu/TUCN_3rd_year
Feb 2018 - Mar 2019
Contributions:79 pushes, 1 branch in 1 year
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