Nipun Verma

Contributed to scaling an existing React & TypeScript video editing platform by integrating Fabricjs for dynamic canvas overlays and WebAssembly powered FFmpeg for in-browser encoding; optimized virtual DOM rendering and offloaded heavy encoding to Web Workers to achieve real-time previews, modular effects; and enhanced bundle performance through code-splitting, lazy loading, and React.memo/useCallback for unnecessary component renders.

Implemented Firebase Authentication via a custom self-hosted proxy server to power secure sign-up and login flows, including email verification, password resets, and user profile management (e.g., email and username updates).

Enhanced performance and Core Web Vitals by optimizing video playback, implementing code splitting, and utilizing lazy loading and virtualization—achieving faster page loads and smooth playback for over **1M+** monthly users.

Integrated and managed payment and analytics platforms, including Paddle for subscriptions, ChartMogul for revenue tracking, and MoEngage for user engagement; implemented Google Ads, Meta Business Suite, and TikTok for campaign attribution; and configured Mixpanel for end-to-end data tracking and actionable insights.

Implemented on-device audio transcription and automated generation of multilingual subtitles in **100 +** languages, expanding global audience reach.

Engineered comprehensive video editing toolset—including trim, cut, timeline adjustments, subtitle timing controls, pre-built templates, and animated subtitle effects.

Enabled high-fidelity video exports in SD, HD, and HDR formats to meet diverse quality requirements.

Integrated Apple Pay to manage in-app subscriptions and free trial offerings, streamlining user onboarding and monetization.

Built end-to-end analytics and attribution infrastructure by integrating Mixpanel (user behavior tracking), Meta Ads and TikTok Ads (campaign attribution), RevenueCat (revenue monitoring), and Firebase Crashlytics (real-time crash reporting).

Planned the product roadmap and go-to-market rollout for a targeted audience, driving over **$10K** in revenue within the first three weeks post-launch through optimized UX and integrated marketing campaigns.

Contributed to the implementation of new features within the Self-Serve Platform, augmenting its functionality and enhancing user experience. And enhanced algorithms to substantially refine data results showcased on the website, tailoring the user search experience to their preferences.

Integrated Redux state management seamlessly into specific UI components, thereby improving data flow and maintainability.

Implemented support for distributed tracing and metric collection for the entire platform using OpenTelemetry enabling real-time monitoring and analysis of system performance across all components.

Conducted thorough memory profiling and optimization of the platform's machine learning algorithms, identifying and addressing performance bottlenecks to ensure that the algorithms were able to process large volumes of data quickly and efficiently.