Mason Stallmo

Senior AI Engineer at Kaliber.ai / Kaliber Labs
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Contact Information
us****@****om
(386) 825-5501
Location
Gilbert, Arizona, United States, US

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Experience

    • United States
    • Software Development
    • 1 - 100 Employee
    • Senior AI Engineer
      • Feb 2021 - Present

      Kaliber.ai is helping shape the future of surgery by bringing comprehensive, real-time, and surgeon-driven AI solutions to arthroscopic and minimally invasive procedures. Our surgical software solutions marry the skills of the surgeon with the precision and accuracy of AI-powered information and guidance systems to reduce surgical variability and expand access to proficient care.At Kaliber, we’re focused on equipping surgeons with the tools they need to achieve the best possible outcomes for their patients every time they step into an OR. To accomplish this, we went directly to the source and assembled a surgical advisory board made up of the world's leading arthroscopic surgeons. They told us what they needed. We built it. The result is a first-of-its-kind AI-powered toolkit that meets surgeons' actual needs, maps seamlessly onto surgical skills and existing workflows, and is fully compatible with legacy towers and hardware. Our solutions address pre-operative, intraoperative, and post-operative needs and include surgical planning and patient communication support, intraoperative guidance systems, real-time recognition of anatomy, pathology, tools, and activities, bluDot™ pinless landmarking, and digital measurement. We’re also going one step further and helping build an ecosystem of innovative surgical technology companies by offering our machine learning platform as an SDK so other companies can build custom solutions for surgical specialties outside of arthroscopy.

    • AI Engineer
      • Jun 2019 - Feb 2021

      Kaliber is a medical AI company that is shaping the future of surgical care. On the journey to create the machine brain for autonomous surgery we are creating AI solutions to enhance and augment the surgeon’s skill. Our solutions reduce procedural time and deliver consistency. Ultimately, our solutions will improve surgical outcomes and democratize surgery by reducing cost and impacting lives. Our AI solutions interpret endoscopic video feeds and recognize anatomical / pathological structures. In addition, Kaliber’s software allows surgeons to obtain precise point to point measurements as well as calculate the area and volume of structures intraoperatively using generic probes. Our AI algorithms provide guidance during a surgical procedure based on the techniques employed by expert surgeons and supported by validated metrics.Kaliber AI bridges preoperative planning, surgical performance, and postoperative communication with patients and their families. We also help surgeons achieve better patient satisfaction - Kaliber AI generates surgical excerpts, assists them communicating their skills and helping patients to understand the surgery they have undergone.Kaliber is headquartered in San Francisco, with research offices in Finland and India. The creation of AI solutions is directed by top US orthopedic physicians serving on the Kaliber Surgery Advisory Board. Kaliber is solving the most challenging problems in surgery today in an effort to democratize surgery and ensure superior outcomes for surgical patients tomorrow.

    • United Kingdom
    • Spectator Sports
    • 700 & Above Employee
    • AI Engineer II
      • Jan 2019 - May 2019

      As an AI Engineer II at STATS I work closely with our AI Scientists in building and optimizing our multi-model computer vision inference pipeline for high throughput and easy scalability. Specifically leveraging AWS batch for running our TensorRT compiled models to achieve maximum runtime performance. Along with leading the pipeline development, I also lead the building of our automated model raining system using Kubernetes to train and evaluate multi-gpu models; automatically compiling the best performing models for deployment to the production pipeline.

    • Software Engineer II
      • Jan 2018 - Jan 2019

      Using Node.js, React, Redux, and MongoDB to develop data annotation tools and pipelines for at scale computer vision and machine learning applications. Responsibilities include evaluating various technologies and paradigms for best fit, working with stakeholders from data science to production, and building production quality tools using TDD and CI/CD.

    • Software Engineer
      • Jun 2016 - Dec 2017

      Develop the baseball team performance product for professional baseball organizations that manages their video workflow and video focused analytics retrieval. The main focus is on the Qt C++ client applications but work also includes the Java Spring web server component. Responsibilities included working with stakeholders to identify and implement impactful new features to customers, working to update the tech stack and alleviate technical debt in the product, and performing maintenance and support for customers to ensure product performance at all times.

    • United States
    • Spectator Sports
    • 100 - 200 Employee
    • Technical Support
      • May 2015 - May 2016

      Administer computers used by Sun Devil Athletics as well as assist with the maintenance and repair of computers used by Sun Devil Athletics Administer computers used by Sun Devil Athletics as well as assist with the maintenance and repair of computers used by Sun Devil Athletics

Education

  • Arizona State University
    Bachelor’s Degree, Digital Culture (Media Processing)
    2010 - 2016

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