PathAI's mission is to improve patient outcomes with AI powered pathology. Our platform promises substantial improvements to the accuracy of diagnosis and the efficacy of treatment of diseases like cancer, leveraging modern approaches in machine learning.We are a company of diverse employees with a wide range of backgrounds and experiences. Our world class team is passionate about solving challenging problems and making a huge impact. Our office is located in the heart of Fenway. PathAI is Certified™ by Great Place to Work®!

• As the sole data engineer, architected and implemented a data platform for autonomous vehicles, making 700+ terabytes of data accessible for ML (machine learning) and analytics use cases• Led team of 5 responsible for cloud infrastructure and development of off-vehicle systems, which included IoT services and web applications• Built streaming data pipelines for key telemetry, providing near-real-time visibility into vehicle activities and system statuses

• Expanded self-service data accessibility by more than 13x (from 300 to 4,000+ users) by deploying a high-availability configuration of an open-source web application to circumvent prohibitive licensing costs of a third-party data visualization tool

• Designed and constructed streaming pipelines to increase data availability speed by 99.7% (from 24 hours to 5 minutes), enabling stakeholders to take intra-day, data-driven actions not possible before• Saved 160 labor hours per week by surfacing relevant metrics to enable automatic generation of reports for Alexa wake word performance• Co-organized the first-ever Alexa Business Intelligence Summit, connecting a global audience of 100+ people for knowledge sharing• Created a suite of internal tools used by over 53 individuals across 21 teams to visualize system data and automate performance analyses

• Introduced a machine learning solution that became the first production use of ML at Amazon Robotics and improved the accuracy and precision of an estimation algorithm by 72% and 39%, respectively• Saved $1 million per year per warehouse by analyzing productivity data, identifying bottlenecks, and optimizing system configurations

• Designed and implemented advanced architectures and algorithms for next-generation communications satellites

• Completed three different analyses for military communications satellite payload subsystem

• Supported sustainment and telemetry activities for operational satellite constellation

• Advanced non-invasive cardiovascular imaging methods for MRI and CT scans as part of the Undergraduate Research Opportunity Program (UROP)• Developed tools and scripts to visually represent collected data as three-dimensional computer model that depicts changes over time and assists doctors in diagnosing ailments

• Created cutting-edge data acquisition, microscope control, and image processing programs• Sponsored by National Science Foundation Research Experience for Undergraduates (NSF-REU) grant