About Me

I'm a passionate engineer with deep interest in building intelligent, end-to-end systems that combine full-stack development, DevOps, and AI. My journey began with curiosity about system architectures—from web app backends to neural network internals. That curiosity evolved into hands-on pursuit of creating meaningful, scalable applications where NLP, deep learning, and system design converge to solve real-world problems.

With solid foundations in traditional software engineering and modern cloud-native architectures, I focus on building robust systems that bridge development and production. My experience spans containerized microservices, real-time APIs, and scalable ML deployment pipelines. I've developed intelligent applications, integrated ML models, and automated CI/CD workflows to end-to-end ML lifecycles—always optimizing for performance, simplicity, and reproducibility.

I'm particularly passionate about developing applications that bring cutting-edge research to life—making NLP and deep learning models accessible and efficient. From orchestrating deployments to scaling training jobs and fine-tuning transformers, I work across the stack to deliver production-ready solutions. I believe great engineering combines empathy, creativity, and clarity—and I'm excited to push boundaries at the intersection of DevOps, AI, and modern software development.