I am a master's student in Computer Science and Engineering with three years of professional experience building scalable backend services and cloud-based systems. My background combines software engineering, distributed systems, DevOps, and applied AI/ML research.
I have worked on backend processing pipelines, customer and order lifecycle systems, microservices, and RESTful APIs supporting more than one million users. I focus on improving reliability, throughput, latency, and production system quality through well-designed services and operational practices.
I am experienced with Java, Python, SQL, Microsoft Azure, AWS, Kubernetes, Docker, Azure DevOps, and a range of relational and NoSQL databases. I have built CI/CD workflows, supported legacy-platform migrations, and implemented monitoring and incident-troubleshooting solutions.
In my professional role, I have collaborated closely with DevOps, QA, and product teams in Agile delivery cycles. I have also led code reviews, improved release workflows, and mentored junior developers on engineering best practices and system integration.
My academic and research interests include machine learning, deep learning, computer vision, natural language processing, multimodal AI, image captioning, and assistive navigation technologies. I am particularly interested in applying robust software engineering practices to intelligent systems that create accessible and reliable user experiences.
