• 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

• Ensure productive meetings, sprint planning sessions, and agile ceremonies, ensuring effective communication and alignment

across all stakeholders.

• Lead the development and architecture of APIs, Models, Controllers, and routing, laying the foundation for a scalable

application

• Used MUI to create a modern, sleek and fully accessible modern front end application

• Set up a Continuous Integration/Continuous Deployment (CI/CD) pipeline, enabling automated deployments to AWS, resulting

in streamlined development workflows, testing, and releases

• Work with Javascript, Express, React, MongoDB, AWS, Redux

• Implemented a fully accessible grid component that is used by every image selection and AI image generation feature

• Served as a performance SME ensuring features and fixes met strict performance criteria.

• Created a Technical Planning Proposal for a filtering and sorting feature that was shipped to production 2 sprints early

• Reduced technical debt in various monorepo packages by converting them to strict TypeScript, leading to a reduction in technical debt by 5%

• Work in codebase consisting of Typescript, Java, React, Angular, Spring, Python

• Work 1:1 with students to help and mentor on a variety of topics ranging from technical issues, back end development, front end development, deployment, and career guidance.