Xaira Therapeutics (https://xaira.com) is pioneering the discovery and development of life-changing medicines through the transformative power of artificial intelligence. At Xaira, I am leading the development of a best-in-class therapeutics design engine that generates the medicines of tomorrow together with some of the brightest minds in the industry! The design engine integrates a variety of models for end to end protein design, schedules inference on an elastic compute base layer, and integrates with lab data sources. In addition to my work on the design engine I collaborated with Xaira's CSO on a data integration initiative to unify all of Xaira's disparate data sources under a single unified FAIR data access layer to facilitate end to end data tracking for therapeutic development and future regulatory submissions.

I collaborate with founders on organization direction, enterprise sales, internal product development, expansion into new verticals, and customer support (from internal product development to Kubernetes-based platform optimization).

Examples:

I designed, developed, and maintained Hera (https://github.com/argoproj-labs/hera), an open source Python SDK that makes access to Kubernetes and Argo Workflows easy. Hera was open sourced in collaboration with Intuit and has been featured at conferences such as KubeCon/CloudNativeCon for multiple years not only in maintainer presentations but also independently by other organizations. I had the opportunity to work with amazing collaborators, organizations, and open source developers with a clear dedication to making open source tools accessible to any organization and individual. In addition to design, development, and maintenance I managed the maintainers team for a few years while I was deeply involved with project management, governance, roadmap creation, user interviews, and propagation of feedback from high level discussions to low level technical details.

Hera has been applied in fields such as:

Since its inception Hera has gained several additional astounding maintainers (Elliot Gunton from Pipekit, ex-Bloomberg, Sambhav Khotari from Bloomberg, and a few other maintainers from Bloomberg).

I departed the project on great terms in November 2024 after 3 years of authorship, contributions, and maintenance.

Dyno Therapeutics (https://dynotx.com) uses machine-guided design and quantitative high-throughput in vivo experimentation to develop new ways to design gene vectors with a focus on cell-targeting capsid proteins from adeno-associated virus (AAV) - the most widely-used vector for gene therapies. I joined Dyno as a Software Engineer and I was incredibly fortunate to have done just about everything. I initially focused on compute, where I established the organization wide Kubernetes-based infrastructure that powers lab data processing, model training, ETLs, CICD, and internal services to this day. As my role evolved to Senior I started focusing on distributed model training on Kubernetes. Those efforts saved days of training and inference while maintaining model quality and performance. With the switch to Staff I started working on the machine guided design platform for engineering AAV gene therapy vectors; I focused on researching, conducting, and delivering AAV sequence experiments with specific tropism goals in accordance with external partnership agreements. In addition to my research role I focused on leading the design and delivery of data warehousing solutions for AAV sequence performance data, which is actively used for scientific decision making, sequence design, and product releases. Lastly, together with team managers, I was accountable for the engineering roadmap of the division while maintaining independent contributor status and focus on mentorship. After almost 4 years at Dyno the team has grown significantly and the infrastructure was in a great place to power the next phase of Dyno's growth. I left on great terms and I view my experience at Dyno fondly. I worked with astounding, world-class, scientists and engineers building revolutionary technology for the field of gene therapy and I cannot recommend Dyno enough!