About Me

A focused and determined Computer Engineering student, I work at the intersection of backend development, applied ML/DL, and cloud computing, with strong expertise in Core and Advanced Java as well as Python. With hands-on experience across data-intensive modeling, deep learning workflows, and model robustness techniques. I build complete ML pipelines—training, optimizing, deploying, and monitoring models—while effectively troubleshooting complex hardware and runtime environments across CPUs, GPUs, TPUs, and MPS devices.

I also bring industry experience as a Software Engineering Intern, where I developed an AI-driven code-refactoring tool for Gradle-based Java projects, strengthening my understanding of large-scale engineering systems and developer tooling.

Beyond ML, I build backend APIs, cloud-hosted services, and data pipelines, and apply systems thinking across platforms, data storage, preprocessing, and software development. To complement my ML and backend experience, I’m also upskilling in Kubernetes, infrastructure basics, distributed systems, CI/CD automation, IAM, and open-source contribution.

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