I’ve always been drawn to large-scale systems because they’re like the gym for my engineering brain, every new challenge gives me that same rush of figuring out how all the moving parts fit together. At Infosys, I worked on distributed microservices deployed across AWS, collaborating closely with DevOps and data teams to improve performance and reliability for applications serving millions of users. We optimized container deployments with Kubernetes and built caching layers that cut response times by nearly 40%.
At UC Irvine, I’ve continued that streak with experimenting with parallel computing projects, scaling services, and diving into cloud-native architectures just for fun (yes, I’m a little more kind of curious). I thrive in collaborative environments where everyone’s bouncing ideas, debugging together, and learning from each other. I’m not afraid to get my hands dirty, whether it’s tweaking infrastructure scripts, optimizing SQL queries, or breaking something just to understand how it works. (Recently, tried to build the new “alleged” Ladybird browser, but my storage gave away before it could successfully compile).
For me, working on cloud infrastructure and distributed systems isn’t just a job, it’s the kind of challenge that keeps me genuinely excited to build, learn, and push boundaries every day.
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