Optimizing PostgreSQL for High-Volume Transactions
How I reduced API response times by 85% through query optimization and indexing strategies.
Full Stack Engineer building production-grade backend systems, payment platforms, and DevOps automation for fintech applications.
Building end-to-end payment systems handling high-volume transactions.
DevOps and backend automation for payment infrastructure.
Enterprise-grade backend development for financial systems.
Full-stack payment reconciliation system with automated matching algorithms achieving 98% accuracy. Built for tracking transaction logs, settlement records, and audit trails.
Jenkins-based CI/CD workflow for Dockerized Java microservices with automated testing, SonarQube integration, and blue-green deployment strategy.
End-to-end monitoring system using Prometheus and Grafana for Java backend services. Custom dashboards for API latency, throughput, error rates, and JVM metrics.
How I reduced API response times by 85% through query optimization and indexing strategies.
Lessons from implementing Jenkins pipelines with blue-green deployments and zero-downtime releases.
Architecture decisions behind building a reconciliation system handling 10K+ daily transactions.
My journey through fintech internships and what I learned about production systems.
Always interested in new opportunities, collaborations, and conversations about technology and startups.