OpenTeams Enterprise Solution Architects help companies architect solutions and lead technology teams to deliver business results. You can hire an ESA to help you design, pilot, and grow a technology project or add an ESA to your team to help you solve and architect a challenging technical problem.
The PyTorch team at Meta wanted (a) software engineering support on PyTorch, and (b) access to expertise around the wider PyData open source software stack in order to have PyTorch interoperate better with other open source projects.
OpenTeams Enterprise Solution Architect was hired by Meta to lead a small team of three part-time engineers who had experience on similar projects, such as NumPy and SciPy. Over the last three years, as a result of achieving Metas goals, the ESA grew the team to 15+ people dedicated to PyTorch development.
A geodata company wanted to do analytics at scale on massive amounts of time-series GPS data but needed help overcoming data ingest problems, normalizing incompatible data formats, and developing algorithms specific to their customers’ needs.
OpenTeams Enterprise Solution Architect built an open source, cloud-based data science platform to allow them to scale their work, including a stable, reliable, automated workflow to preprocess new data each day, algorithms to feed various data sources into a single dataset, and algorithms to analyze the data according to their customers’ needs.
The outcome was an example of MLOps best practices for all of their teams to adopt. It reduces ETL and modeling errors and makes scaling, model experimentation, and production deployment easy.
The Bean Machine team at Meta wanted (a) documentation and tutorials written for Bean Machine, (b) provide community support for users of Bean Machine, and (c) access to expertise around the wider probabilistic programming open source software stack in order to have Bean Machine interoperate better with other open source projects.
OpenTeams Enterprise Solution Architect started with a small team of one full-time engineer and two part-time engineers working one day a week. The part-time engineers both had extensive prior experience in the probabilistic programming space. Over the last year, as a result of helping Meta achieve their goals, the ESA grew the team to allow the part-time engineers to move to half-time. The scope also increased beyond writing documentation and tutorials to include adding major software features.
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