Research Intern — IIT Roorkee
Research Intern — 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.