Lana Oransky is a senior recruiter at Meta Reality Labs with a decade of experience building and scaling product and technical teams across AR/VR, consumer apps, and autonomous vehicle startups. She combines rigorous talent-mapping and research-driven sourcing with hands-on full-cycle recruiting to place senior product designers and cross-disciplinary engineers into mission-driven organizations. At Meta she’s helped scale design teams across the family of apps and now focuses on leadership hires for XR, while earlier roles at Zoox and startups sharpened her ability to recruit for complex hardware-software roles. A former private investigator with academic training in criminal justice and an MS in HR, Lana brings an investigative eye and data-informed rigor to uncovering non-obvious candidate fit and advocating for diverse, non-traditional talent pipelines. Her open-source contributions to PyTorch and Pachyderm documentation reveal a tech-savvy communicator who improves developer experience and clarity behind the scenes.
10 years of coding experience
MS, Human Resource Management, 4.0, MS, Human Resource Management, 4.0 at Golden Gate University, Edward S. Ageno School of Business
Police Foundations Diploma with Honours, Criminal Justice, Police Foundations Diploma with Honours, Criminal Justice at Humber College
Bachelor's degree, 4.0, Criminal Justice Major, Bachelor's degree, 4.0, Criminal Justice Major at Athabasca University
Contributions:222 commits, 374 PRs, 408 pushes in 1 year 1 month
Contributions summary:Lana primarily contributed to the documentation of the Pachyderm project. Their commits focused on updating and restructuring the documentation, including the addition of a style guide and a custom deployment section. The user also added descriptions of storage protocols and clarified the run pipeline behavior, significantly improving the clarity and completeness of the documentation. Furthermore, they worked on fixing links and updating the theme, enhancing the overall user experience.
Contributions:922 reviews, 109 commits, 769 PRs in 8 months
Contributions summary:Lana primarily contributed to the documentation of PyTorch tutorials by adding new tutorials, updating existing ones, and correcting formatting issues. Their work included the addition of prerequisites, card descriptions and other formatting enhancements to improve the user experience and clarify the purpose of the tutorials. The user also fixed typos and other grammatical errors within the tutorials, which demonstrates an attention to detail and a focus on clarity. The contributions cover content in several different areas, including beginner, intermediate, and advanced tutorials.
deep-learningpytorchpytorch-tutorials
Find and Hire Top DevelopersWe’ve analyzed the programming source code of over 60 million software developers on GitHub and scored them by 50,000 skills. Sign-up on Prog,AI to search for software developers.