Nithin

I am a Cloud Developer and technical researcher specializing in scalable cloud architecture, event-driven microservices, and applied data science. I hold a Master of Science in Data Science from the University of Maryland, Baltimore County (UMBC), where my research focused on predictive risk modeling and advanced data analytics. In my current role, I design and deploy highly available, fault-tolerant infrastructure and REST APIs within Microsoft Azure environments, integrating complex data pipelines using C# and Python. My core expertise bridges enterprise cloud computing with the practical application of machine learning algorithms. I serve as a peer reviewer for IEEE Transactions on Dependable and Secure Computing (TDSC), evaluating manuscripts on system dependability, cloud security, and ML-based threat detection. I am a Professional Member of the IEEE Computer Society and actively engaged with the IEEE Young Professionals affinity group.