•Built conversational report-generation feature using LLMs, enabling users to create complex reports via
natural language, while respecting data privacy
•Reduced AI token costs by 90%, improved response latency, and enabled future product expansion.
•Designed scalable data models and event tracking system for LLM-driven dynamic content generation,
enabling feature adoption analysis, ROI tracking, and privacy-compliant AI usage monitoring.
•Led migration from Create React App to Vite, reducing build times by 45% and improving local development
velocity while maintaining zero downtime during transition.
•Championed TypeScript adoption across frontend codebase (0% → 50%), improving type safety, reducing
runtime bugs, improving agent productivity, and standardizing engineering practices.
•Modernized legacy redux & cache system by introducing RTK & RTK-Query while maintaining backwards
compatibility.
•Led the introduction of a new API pattern and optimization of reporting components, leading to a reduction
of reporting errors by 99%.
•Built organization risk dashboard, surfacing items that need attention automatically with actionable insights.
•Introduced automated testing through Playwright to reduce QA time and reduce regressions.
•Tech: TypeScript, React, Ruby on Rails, GCP, Vite, Redux Toolkit
