Java Backend Engineer with 2.6 years of enterprise experience who genuinely enjoys the moment a hard problem clicks. Not just understanding it — but building something that fixes it, and watching other people benefit from that fix. That loop of learning, building, and seeing real impact is what keeps me going.
My foundation is in enterprise backend systems — Spring Boot, Kafka, microservices, the kind of infrastructure where getting it wrong has real consequences. At Cognizant I worked in mobile banking, where I rebuilt a loan approval pipeline that was leaving 10,000+ users waiting four days for a decision. After redesigning it with Kafka and an embedded Python ML service, that dropped to 24 hours. I also cut AWS infrastructure costs by 40% through JVM tuning and batch job optimization — not by scaling up, but by actually diagnosing the problem.
Beyond the technical depth, I've stepped into leadership as a Pod Captain — and I find just as much challenge in unblocking a team as I do in debugging a system. We all hit small friction points every day, and I genuinely enjoy turning something I've learned into a tool that removes one of them for good.
What excites me most right now is applied AI and GCP — not as trends to follow, but as practical layers that make production systems smarter. I've fine-tuned BERT models, built FastAPI inference services, and integrated ML directly into production pipelines. I recently completed my Master's in Computer Science at Cal State San Bernardino with a 3.9 GPA, which deepened my conviction that the best engineering quietly makes someone's day easier.
I'm based in Orlando, open to Tampa Bay opportunities, and at my best when the problem is messy enough that most people would rather avoid it.
