Raju User

I’m a full-stack engineer and AI/ML practitioner who has shipped production systems from scratch—building an end-to-end XGBoost pipeline for early diabetes detection on 1000+ records, improving prediction accuracy by 22% and reducing false-negative rate by 15%. I also engineered interactive Matplotlib risk dashboards that cut data-to-decision review time by 20% and removed 3 manual reporting workflows entirely.

I’m equally hands-on with real-time product engineering: I architected an event-driven WebSocket backend for a collaboration platform sustaining 50+ concurrent users at sub-200ms latency, and integrated Groq LLM for live in-session PDF/DOCX analysis with an 85% throughput improvement. Across my work, I’m comfortable spanning MERN, REST API design, WebSocket architecture, and ML model deployment, and I’m currently targeting full-stack / SDE internship roles at product-first companies.