Sai Sreenikethan Reddy Avuthu

I've built and deployed production-ready backend systems and ML pipelines, from REST APIs and real-time data ingestion to model training and cloud deployment.

For VAYU, an IoT air quality forecasting system, I designed an end-to-end pipeline for sensor ingestion, model training, and live inference. I trained a Temporal Knowledge-Aware Network on two years of hourly environmental data, achieving a mean R² of 0.93, and deployed it through a FastAPI REST API with Firebase real-time updates.

I've also delivered a Flask-based phishing URL classification API and a secure Spring Boot banking portal with JWT authentication, validation layers, fund transfers, deposits, withdrawals, and centralized exception handling.

As a freelance AI Data Consultant at Soul AI, I evaluated model outputs, identified failure patterns, annotated data, and provided evidence-based feedback for model versioning cycles. I bring Python, Java, AWS, Git-based collaboration, testing, debugging, and strong data structures foundations to enterprise software and infrastructure teams.