scratchnet ●
Tiny autograd + MLP from scratch in 700 LOC of Python.
Built to teach myself the maths. Trains MNIST in under two minutes on CPU. The tape-based gradient bookkeeping is what most surprised me.
Profile
Sara is a software engineer who likes the boring half of engineering: clean APIs, fast tests, and observability you can act on. She's worked on ML platforms, payments infra, and the occasional indie game. Currently exploring what AI assistants should never do for you.
Experience
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Software Engineer, Platform
Feb. 1, 2024 – PresentLinnea AI · Remote · full_time
Building the eval platform — dataset versioning, run diffing, and a CLI good enough that researchers stopped writing their own scripts.
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Backend Engineer
July 1, 2023 – Jan. 31, 2024Mango Pay · Karachi, PK · full_time
Owned the merchant-onboarding flow end-to-end; cut KYC median from 6h to 38m via async webhooks + retry policy.
Selected Work
kaftaa ●
Kafka log inspector for humans — one keystroke per task.
TUI for browsing topics, filtering by header, and replaying ranges. Ergonomics over feature count.
feed-by-rss
Replace your social feeds with a curated RSS reader.
Web app + CLI to subscribe by topic, dedup across sources, and surface posts an LLM thinks you'd actually click. The LLM is wrong half the time, which I find informative.
Education
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National University of Computer Science
Sept. 1, 2019 – June 1, 2023B.S. Computer Science · Machine Learning concentration · 3.86 / 4.0
Senior thesis on robust active-learning under label noise. TA'd Algorithms II for two semesters.