Ayush Srivastava

I'm a Software Engineer passionate about building scalable backend systems and AI-powered applications that solve real-world problems.

My backend experience centers on Java, Spring Boot, PostgreSQL, Docker, and REST APIs. I built AccessGuard, an enterprise access governance platform featuring 15+ REST APIs, JWT-based authentication, role-based access control (RBAC), approval workflows, audit logging, Flyway migrations, Hibernate/JPA, and cloud deployment.

Alongside backend development, I enjoy building machine learning applications. I developed LoanRisk AI, an explainable credit-risk prediction platform trained on 10,000+ financial records using XGBoost, SHAP, and SMOTE, achieving a ROC-AUC of 0.803. I also built a Fake News Intelligence Platform trained on 44,898 news articles using NLP, TF-IDF, and Linear SVM, achieving 99.8% accuracy while providing uncertainty-aware and explainable predictions.

Beyond projects, I've co-authored a peer-reviewed research paper on AI-driven loan default prediction and completed industry training in blockchain technologies, including Ethereum, Solidity, and smart contract development.

I'm currently seeking Software Engineering, Backend Engineering, and AI/ML opportunities where I can contribute to building reliable, scalable, and impactful products while continuing to grow as an engineer.