Process engineers who built the tool their teams needed
The Fermentile team combines GMP manufacturing experience, data engineering, and process development science. Everyone on the team has worked with the data systems and investigation workflows the platform automates.
Carmen Aguilar
Founder & CEO
Former MSAT engineer at a San Diego CDMO and process development lead at a late-stage biopharma manufacturer. MS in Chemical Engineering from UC San Diego. Spent 6 years building and debugging fermentation monitoring workflows before deciding the investigation tooling problem required a dedicated product. Led the initial validation of Fermentile’s deviation classification engine against 50 historical bioreactor batches.
Darius Webb
CTO & Co-Founder
Previously led data engineering for a process analytics team at a San Diego biotech company. MS in Data Science from UCSD Jacobs School of Engineering. Designed Fermentile’s real-time data ingest architecture, the time-indexed batch object model, and the statistical process control engine that drives the deviation classifier. Leads all platform engineering and infrastructure.
Hana Nakashima
Head of Process Science
Ten years in upstream process development and scale-up at mid-size biopharma companies. Led technology transfer of two commercial biologics programs from 50L pilot to 2000L commercial bioreactor scale. Designed the deviation classification framework in the Fermentile platform and leads scientific validation work with pilot partners. Subject matter expert for CPV methodology and regulatory submission support.
Marcus Oliveira
Lead Engineer
Full-stack engineer with a background in GxP data systems and OPC-UA integration for pharmaceutical manufacturing environments. Previously built the historian data layer for an industrial analytics company serving pharmaceutical manufacturers. Leads the DCS and LIMS integration work at Fermentile, including the OSIsoft PI Web API connector and the DeltaV batch record ingest pipeline.
We are a team of four, building for a specific problem
We are not hiring for generalist roles. When we bring someone on, they need direct experience with the data systems and workflows that MSAT engineers use daily — or the data engineering depth to understand them quickly. If you have spent time in a bioreactor room, a DCS historian, or a GxP data pipeline, we want to hear from you.
Send a note to [email protected] with a description of the specific work you have done in bioprocess data.