Siddhant Manchanda

Authored 130+ pull requests, including 90+ merged, across React, TypeScript, and Java for an open-source data catalog. Architected server-side user-context injection for a production AI-agent platform and built structured LLM tool-calling agents for data-governance workflows.

Built frontend experiences for computer-vision and video-analytics model outputs, introducing explicit timeline-player memory management that improved processing efficiency by ~40%. Partnered with customer success to cut resolution time by ~30% and led development of a landing page that increased engagement by ~40%.

Built a platform to generate quarterly reports for ~100,000 VINs, reducing report creation time from 3 months to 30 minutes. Engineered a scalable clearance platform processing 10,000+ applications per day and reduced customer onboarding time by ~40% with a renewals platform.

Designed and built the frontend for a SaaS data platform, reducing user onboarding time by ~40%. Led migration to a React-based frontend architecture, improving load times by ~25%, and built the SuperClub loyalty program increasing repeat purchases by ~15%.

Delivered 6 major frontend and recruiter-workflow initiatives including React migration, search filters, code review, candidate profiles, performance testing, and accessibility. Modernized hiring workflows by migrating legacy Backbone interfaces to React and built a React-based code-review pipeline.

Delivered 3 data-visualization capabilities for a University of Washington project through Google Summer of Code, including a Vega-Lite configuration editor and parser, tooltip-enabled chart settings, and a time-travel interaction debugger.

Bachelor of Technology in Computer Science from Bhagwan Parshuram Institute of Technology.