Kainat Asif

Developed a dynamic no-code Funder Credit Policy Builder using ReactFlow for drag-and-drop rule configuration and YAML for version-controlled policy storage. Built a recursive policy evaluation engine to execute nested decision logic. Backend implemented in Ruby with YAML schema validation for secure and scalable policy execution. Also led AI Search pipeline using RAG, implemented a Progen updates backend overhaul, and contributed to pre-qualification and duplication detection features.

Implemented Elastic Search indexing to replace Elastic Enterprise Search, achieving ~65% cost reduction. Built automated SEO-optimized Learn Pages and migrated user analytics to BigQuery with Looker Studio dashboards. Established process for collecting user testimonials, developed DSML assessment, and provided mentorship during onboarding.

Led backend and product initiatives including a dynamic funder credit policy builder with drag-and-drop UI, a RAG-based Copilot trained on internal data, overhauled Progen backend to store customer credit terms, implemented migrations, and built a DaisyUI-based UI for term updates. Drove pre-qualification to reduce underwriting approvals from 30 days to 1 day, implemented custom payment schedules, and added delivery/acceptance workflow. Implemented end-to-end duplication detection with PG Search to flag duplicates during company creation. Enabled buyers to accept or decline project milestones.