Ashutosh Gupta

About

JavaScript/React performance-focused engineer who contributed upstream to an open-source virtualization/pagination library, fixing overlapping-fetch race conditions and introducing prefetch/deduping patterns that cut load times from ~3s to <900ms and reduced render thrash ~35%. Also built healthcare automation systems (clinical summary and claims triage), including a FastAPI + RAG pipeline that retrieved CPT/ICD evidence, improving decision accuracy from 67% to 86% and reducing turnaround time by 40%.

Experience

Education

Key Strengths

• Open-source performance improvements to pagination/virtualized list library
• Diagnosed and fixed overlapping fetch race conditions causing stale data
• Built synthetic datasets and traced request cycles to reproduce heavy-load issues
• Reduced initial React screen load time from ~3s to <900ms on high-volume datasets
• Cut render thrashing/jitter ~35% in heavy tables
• Improves complex JS codebases via profiling hot paths (render frequency, network chatter, memory churn)
• Maintains backwards-compatible public APIs while refactoring runtime behavior
• Creates developer-friendly docs with runnable snippets and task-oriented structure
• Effective user/community issue triage using repro steps, recordings, and diagnostic sandboxes
• Self-directed ownership in unstructured environments; defined priorities and delivered end-to-end systems
• Built FastAPI + RAG pipeline to retrieve CPT/ICD evidence for prior auth reviews
• Improved auto-decision accuracy from 67% to 86% and cut turnaround time by 40%