Brian Beatty is an accomplished AI Tech Lead and Principal Software Engineer at Arcules, where he leverages his extensive expertise in software engineering to drive innovation in computer vision and artificial intelligence. With a diverse background that spans industries from aerospace to robotics, Brian has...
Brian Beatty is an accomplished AI Tech Lead and Principal Software Engineer at Arcules, where he leverages his extensive expertise in software engineering to drive innovation in computer vision and artificial intelligence. With a diverse background that spans industries from aerospace to robotics, Brian has honed his skills in designing and implementing robust software solutions that address complex challenges. His current role involves leading a talented AI team focused on developing cutting-edge computer vision technologies that enable efficient object detection within video streams. By prioritizing low-cost, high-speed, and accurate solutions, Brian ensures that Arcules remains at the forefront of video surveillance and analytics.
In addition to overseeing the AI team, Brian is actively researching the applications of Generative AI and Large Language Models (LLMs) to enhance the capabilities of object detection systems. This research is pivotal in creating intelligent systems that can not only identify objects in real-time but also facilitate advanced search functionalities within extensive data stores. His technical prowess is further demonstrated through his work on SaaS-based microservices, where he utilizes the Go programming language and Kubernetes to build scalable and resilient applications.
Brian's skill set includes a strong foundation in GPS tracking, telemetry, C++, and Agile methodologies, along with proficiency in Linux environments and database management using SQL Server. His commitment to continuous improvement and innovation positions him as a key player in the evolution of AI-driven solutions at Arcules, making significant contributions to the fields of video surveillance and intelligent data processing.
