Reeti Singh

I’m a full-stack engineer who thrives at the intersection of automation, backend reliability, and applied ML. I’ve built production-ready features and systems that reduce latency, accelerate workflows, and improve data quality.

As a Full-Stack SWE Intern at VETRO GLOBALEDGE LLP, I eliminated environment-parity bugs by containerising the WMS backend with Docker and standardising dev/production builds. I delivered an automated SKU routing system using Python + REST APIs and shipped features through 2-week Agile sprints with Gerrit-style iterative review, maintaining zero critical regressions.

I also translate research into usable outputs. At Open Knowledge Initiatives, IIIT Hyderabad, I engineered a Python + Google Vision AI OCR pipeline that cut manuscript digitisation time by ~60%, and I published a structured, citable metadata dataset on Wikidata and Wikisource to enable cross-language discoverability.

In open source, I focus on reviewable, maintainable contributions. With the Wikimedia Foundation (MediaWiki), I achieved an 86% patch acceptance rate across multiple repos and authored i18n technical documentation merged into MediaWiki core—while continuing to work on codebase-level improvements.