Snapi Health

I teamed up with the CTO at Snapi Health (via Proxify) to work on something pretty cool. Snapi makes microbiome test kits that help parents monitor their baby’s gut health and prevent common health issues by mapping out every single bacterium down there.

My mission? Take their custom, data-heavy microbiome and DNA analyzer tool and migrate it over to a serverless setup on AWS Lambda.

The Challenge (or, the "Hidden Surprises")

On paper, this looked like a straightforward script migration. In reality? It was a bit of a wild ride. The original codebase had almost zero documentation, which meant I had to play detective to figure out how its specialized bioinformatics libraries worked. To make things trickier, some of those libraries just didn’t want to play nice with the AWS Lambda environment, so I had to find and swap in compatible alternatives without breaking the analyzer.

On top of that, processing DNA data is incredibly resource-intensive. I had to roll up my sleeves and do some serious performance tuning and memory optimization to make sure the tool could run efficiently within Lambda's strict resource ceilings.

The Results

By diving deep into the code and tackling the bottlenecks head-on, I successfully moved the analyzer to the cloud. What started as an unpredictable codebase turned into a smooth, scalable, and fully serverless tool ready to crunch gut-health data at scale.