Java Backend Developer crafting resilient fintech and microservices systems with Spring Boot, Quarkus & AWS. Graduate Researcher applying ML to cybersecurity at Texas Southern University.
Engineering at the intersection of backend reliability and intelligent systems.
I'm a Java Backend Developer with hands-on experience building production-grade fintech and microservices applications. My engineering spans from designing scalable REST APIs to containerizing services with Docker and orchestrating CI/CD pipelines that ship reliably.
Currently pursuing my M.S. in Computer Science at Texas Southern University, where I apply machine learning to cybersecurity research — building anomaly detection models for Advanced Persistent Threat identification using Hidden Markov Models.
I thrive at the intersection of distributed systems, event-driven architecture, and cloud-native deployments. Whether migrating a monolith to microservices, optimizing SQL performance, or architecting a RAG-powered chatbot, I bring both engineering rigor and product-minded thinking.
A production-tested stack across fintech systems, cloud deployments, and ML research.
Building and scaling production systems in fintech and microservices environments.
Applying machine learning to real-world cybersecurity challenges at the graduate level.
Production-minded side projects exploring distributed systems and AI-powered backends.
A production-ready rental marketplace backend built with modular domain-driven design. Features structured observability with custom request tracing, JWT security, event-driven messaging, and fully automated cloud deployments.
An AI-powered university assistant leveraging Retrieval-Augmented Generation (RAG). Crawls the university website, vectorizes document chunks, and answers student queries with contextually accurate responses and source citations.
A fully distributed microservices backend for order processing. Features centralized configuration management, dynamic service discovery via Eureka, and JWT-based authentication enforced across the entire service mesh.
Rigorous computer science foundations — from algorithms to distributed systems and ML research.
Open to full-time backend engineering roles, research collaborations, and interesting side projects. Based in the USA — remote-friendly worldwide.
Actively seeking Java/Backend Developer positions in fintech, cloud-native, or distributed systems. Also open to research collaborations in ML & cybersecurity.