Mihir Vipradas

· Built and shipped a full-stack web platform (React, Django, PostgreSQL) that lets researchers run interactive meta-analyses across 75+ neuroscience studies, replacing a manual, spreadsheet-driven workflow. · Launched the platform to production on a Linux VM through a versioned CI/CD pipeline. · Managed the infrastructure and access through Openstack. · Co-developed a machine-learning model that automatically flags faulty measurement signals in fNIRS brain-activity data, automating a previously manual qual

· Migrated a legacy web system to Angular/TypeScript and reached 80% test coverage through systematic test design. · Designed, implemented, and documented new features and UI/form components for a product used by several thousand users worldwide. · Partnered closely with the Product Owner and QA in an agile team, keeping the end-to-end user journey in mind.

Worked on the backend of the EVC Finder mobile app. Created an admin dashboard, used by admin level users to visualize and modify data

•Worked with 2 senior developers on PII watchdog, a tool to detect Personally Identifiable Information leakages in Google analytics reporting API. •Efficiently implemented Luhn's algorithm, which is used to verify credit card numbers.