Sidharth Sreehari

• Developed AI-assisted workflows to accelerate embedded C software development, leveraging LLMs to generate pseudocode, unit test cases, and implementation artifacts from software design documents. • Built an automated pipeline that converts software design specifications into production-ready C code, reducing manual development effort while improving consistency with design requirements. • Contributed to process improvements by integrating AI into the software development lifecycle, enabling faster development cycles without compromising engineering quality. • Performed code reviews, debugging, and root cause analysis for embedded software modules, improving software reliability and maintainability.

• Led social media and growth strategy for art workshops, driving audience acquisition and engagement. • Created and executed content campaigns (Instagram, Reddit, Substack) to promote workshops and events.

• Owned end-to-end delivery of buyer-facing features across checkout and product discovery flows, directly con- tributing to a measurable reduction in cart abandonment and bounce rate. • Designed and built a reusable UI component library adopted across 3+ squads in the Buyer Experience team, reducing design inconsistencies and accelerating feature development cycles. • Contributed to mobile fintech initiatives, building order management and dashboard filtering features in React Native, ensuring consistent UX across Android and iOS platforms. • Enhanced code quality through refactoring, performance optimization, and advocacy for best practices, leading to faster page load times and a more maintainable codebase. • Led initiatives to prioritize user feedback in feature rollouts, improving customer satisfaction and reducing escalations. • Collaborated cross-functionally with product managers, designers, and back-end teams to align technical re- quirements, leading to timely and seamless delivery of features.

• Tried building one-of-a-kind recruitment platform that enables recruiters to go beyond traditional screening and pinpoint the best-fit candidates.