i build things that keep working after the demo.
hi, i'm Suhrith. i work across backends, data pipelines, and ml, with an ms in computer and information science from purdue.
right now:
sample data, shown for illustration.
my stack, as a graph
hover a nodepoke around
about
i'm a backend-leaning engineer who works across data, ml, and full-stack. at drdo i built python models for target position prediction, and since then i've built a portfolio that runs from vision pipelines to warehouses to llm apps.
the thread through all of it is checking my own work: point-in-time features so a model can't peek at the future, dbt tests on every model, and a predictor that re-verifies its accuracy on a schedule. i'm most interested in backend engineering, distributed systems, and agentic ai.
journey
scroll down the line. click a stop to open it.
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- graduated may 2023.
- where the software and data fundamentals came from.
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- built python predictive models that reached 90% target position accuracy.
- cut analytical workflow time by 40% using matlab and python.
- packaged python and c++ apps with docker for teams on different platforms.
- turned analytical requirements into data pipelines using tdd and oop.
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- graduate degree in computer and information science.
- after graduating, i built out the projects below on my own.
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- shipped a self-verifying merge predictor, a job-matching engine, and vision and data pipelines.
- looking for a team that cares about reliability.
projects
filter by kind of work. open a card to see how it's built.
build, ship, verify
pick a stage to see the tools behind it.
say hi
tell me what you're building.