Lila is on a mission to build Scientific Superintelligence, to solve humanity's biggest problems in science. I'm building the orchestration layer and management plane for our lab, integrating lab instruments and robotics across several domains of science.

The tools I'm building support human scientific development, as well as real-world, ground-truth feedback for our SSI. I work across the software organization, as well as with our scientists and engineers, to translate both human and AI scientific thought into automated procedures.

Driven by human innovation and scientific AI, Lila (formerly Flagship Labs 97) is creating a programmable lab and scientific superintelligence which will build a more sustainable future in the life and materials sciences. As a member of the founding software team, I built the data plane for our diverse lab instruments, as well as an initial prototype of our control plane for those instruments.

I contributed in several capacities across the tech stack and the organization, writing full-stack web apps in TypeScript, Platform microservices in Go, and real-time machine learning applications in Python. I worked closely with researchers and engineers to build powerful, intuitive software for solving complex problems.

My projects included the Orquestra Platform, an all-inclusive environment for building, testing, and deploying Generative AI-enhanced applications; and the Andretti Autosport | Zapata AI Race Analytics Command Center, an extension of the Orquestra Platform on Andretti's trackside engineering truck.

Continued work started at UVM on the NanoMine database, assisted in the development of a semi-structured semantic database for nanocomposite materials. Projects included further work on semantic data manipulation and inference, as well as helping transition the website to a containerized application.

I assisted in the design, construction, and installation of sets; I installed and focused lights; I operated sound and light boards during performances; and I managed teams of other students in doing the same.