Work Experience

Worked on a high-traffic, real-time trading platform used by hundreds of thousands of active traders globally. The frontend acted as a long-running system handling live market data, compliance rules, and performance-sensitive workflows.

• Led migration of 500k+ existing users to the India-specific platform by designing geo-based routing, compliance gating, and seamless fallback flows.
• Built and maintained location-aware onboarding that routed 600k+ new sign-ups across platforms based on jurisdiction, reducing manual intervention and support load.
• Designed trading analytics dashboards consumed by 100k+ active traders, optimized for frequent data updates and minimal re-renders.
• Debugged production-only issues caused by rendering loops, unstable references, and state churn under real market load.
• Collaborated closely with backend and compliance teams to ensure correctness under regulatory constraints without sacrificing UX responsiveness.

Built an AI-assisted mental health platform from scratch, owning frontend architecture, backend systems, infrastructure, and product flows.

• Designed chat-based mental health assessments that behave like stateful conversations rather than static forms.
• Implemented real-time WebSocket flows for assessments, follow-ups, doctor recommendations, and session booking.
• Architected backend systems using Node.js, PostgreSQL, and Redis, with strong guarantees around correctness, ordering, and data recovery.
• Designed slot-based scheduling logic for therapists and institutions, supporting both online and offline sessions.
• Focused heavily on failure handling — dropped connections, partial submissions, retries, and reconnection logic.

Worked on a consumer-facing salary insights platform where SEO, performance, and rendering correctness directly impacted growth.

• Built salary and compensation insights features used by 20k+ users.
• Improved Core Web Vitals to achieve sub-1s FCP and LCP through bundle splitting, rendering optimization, and SSR tuning.
• Achieved consistent 100 SEO scores across critical landing pages.
• Worked closely with content and growth teams to ensure frontend architecture supported SEO-heavy use cases at scale.

Early experience working on frontend systems operating at massive scale, with a strong emphasis on SEO, SSR, and analytics accuracy.

• Built SSR and SEO features serving millions of monthly users.
• Migrated analytics pipelines to improve data correctness and reduce reporting inconsistencies.
• Developed internal SEO tooling adopted by multiple teams to standardize optimization practices.