Eliminate Engineering Bottlenecks that Slow Scientific Discovery
Unlock scientific breakthroughs by eliminating bottlenecks at the intersection of Software Engineering, AI, ML, and Research. Enable teams to run 20X more experiments, reduce time-to-insights by months, and strengthen team productivity.
With 25 years of experience, I simplify complex architectures, streamline cloud adoption, and empower science teams to scale their research capabilities and accelerate the path from discovery to impact.
Common Challenges in Research Software
Even the best research teams can face barriers that slow progress. Some patterns that often appear include:
Legacy systems that limit throughput: growing datasets overwhelm infrastructure, slowing research progress.
Unreliable results from data pipelines: errors and inconsistencies in data handling lead to unpredictable ML or research outcomes.
Technical debt and system complexity: outdated or patchwork systems add friction to R&D and make innovation harder to sustain.
Collaboration bottlenecks: misalignment between scientists and engineers extends development cycles and delays breakthroughs.
How I Can Help
I work with research teams to modernize their software and data infrastructure so they can focus on discovery, not debugging. My services include leveraging AI for research, building scalable data pipelines, simplifying complex systems, and improving collaboration between scientists and engineers, all with the goal of removing bottlenecks that slow down innovation.
Software Consulting Services To Accelerate Scientific Discovery
Design Systems That Scale With Your Research
Increase research throughput 10x and cut analysis time from days to hours by enabling large-scale cloud computing.
Integrate AI/ML to Unlock New Discoveries
Build resilient data and modeling pipelines with built-in quality checks that enable reliable research. Eliminate bottlenecks and errors from manual data processing. Use AI and data to drive scientific insights at scale.
Boost Your Team’s Productivity & Impact
Improve collaboration across scientists and engineers. Accelerate experimentation cycles by reducing system complexity. Reduce delivery of code for new experiments from weeks to days.

My name is Carlos Garcia Jurado Suarez, and I’m a Software and Machine Learning Engineering Consultant helping research organizations.
I have over 25 years of experience as an engineer, applied scientist, and manager at organizations of all sizes: Big Tech (Microsoft Research, Meta), early and growth stage startups and academia. My expertise and passion are in Machine Learning and Scientific Computing, and in particular bridging the research and engineering worlds.
I hold master's degrees in Computer Science and in Applied Mathematics, both from the University of Washington, as well as a bachelor's degree in Physics from ITESM, in Monterrey, Mexico.
Organizations I've Helped






Software Engineering Blog: Learn To Maximize Results
I've written a series of articles on how to become better software engineers. From individual skills to better team practices, learn about how deliver better results.




