Pavni Manocha.

Research Intern in Machine Learning & Systems

Conducted applied research at the intersection of machine learning, computer vision, and system observability, focusing on scalable pipelines, dataset development, and performance optimization.

• Designed a modular system observability framework with YAML-based configuration for tracking 10+ components.
• Built automated CSV log ingestion pipelines into Firestore using a reusable and scalable Firebase client.
• Curated and labeled large-scale traffic imagery for the Indian Traffic Dataset, contributing to a model achieving 0.91 mAP@50.
• Accelerated debugging cycles by 40% through multi-layer logging, structured exception handling, and fault tracing.

Web Developer Intern

Redesigned and optimized a production-scale NGO website with a strong focus on performance, usability, and cross-device experience to better serve the foundation's mission and reach.

• Rebuilt major front-end modules from scratch, cutting page load latency and delivering a smoother mobile-first experience.
• Designed and iterated on high-conversion user flows in collaboration with product and operations teams, increasing volunteer onboarding by 25%.
• Implemented responsive layouts and accessibility improvements, ensuring the site worked seamlessly across all device sizes.