Tom G.
Senior Staff Software Engineer @Bayer
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WORK HISTORY
Senior Staff Software Engineer @Bayer
San Francisco, CA, US
Bayer products like seeds and treatments are used on 25%+ of the planet’s farmable land. The division I work in collects data (soil, satellite imagery, farming activity etc) and produces models to guide agricultural activity. Working with various teams from agronomy to devops, I design and maintain the data science framework across the model lifecycle to ensure fast, reliable and cheap training and inference.Starting 2026 Bayer\'s Digital Farming Solutions segment created an AI Foundations team which I was fortunate to be made the Engineering Captain of. We are passionate about the potential for agentic AI in helping sustainably feed the planet through automated, data-driven insights and decision making.Achievements prior to 2026 included:* Accelerating infra to run complex async model pipelines 4x faster with 5 9s reliability.* Reducing service costs by 75%.* Architecting and building next-gen model platform on Kubernetes with desirable functionality including realtime inference with scale-to-zero and retraining loops.* Reducing model development time and increasing NPS via focus on usability and easing data access friction, among other things integrating Spark into workflows via feature pipelines.* Migrating services from AWS to Azure and GCP to be closer to data, while ensuring coordination in a multi-cloud environment.
EDUCATION
University of San Francisco
Certificate, Deep Learning
Imperial College London
Master of Engineering, Electrical and Electronics Engineering
SKILLS
ABOUT TOM G.
I\'m a versatile engineer who makes AI products.I\'m a hacker, a pragmatist, and a problem solver. I exist somewhere on the spectrum between data scientist and software engineer / MLOps, but primarily I just enjoy making magic. Perhaps unusually for a super nerd I try to be humble, accessible, and put end user value above tech. I studied Electronic Engineering in college and have a Masters in AI from a time when four layers in a neural net was considered extravagant. I have a certificate in Deep Learning from USF, and used to be a Google certified Data Engineer and an AWS certified Solutions Architect.
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