My Digital Philosophy
I believe infrastructure should be invisible—like electricity that powers your home without you thinking about it. This drives my passion for building self-healing systems that handle their own problems. When designing distributed systems, I draw from nature's resilience patterns—ant colonies don't collapse when a few ants fail, and neither should our digital ecosystems.
My research at NCSU focuses on making machine learning and computer vision applications run seamlessly across multiple clouds. Think of it as teaching AI to be cloud-agnostic—able to work from any digital environment without missing a beat.
Technical Expertise
Kubernetes
Cluster orchestration, deployment strategies, and service meshes
AWS/Azure
Multi-cloud architectures, serverless computing, and IaC
Go/Python
Backend development, microservices, and system programming
Terraform
Infrastructure as code, cloud provisioning, and resource automation
Career Highlights
Research Assistant | North Carolina State University
Feb 2025 - PresentDesigning fault-tolerant Kubernetes clusters that make ML models as reliable as they are intelligent.
Master of Computer Science | NCSU
Aug 2023 - Dec 2024CGPA 3.77/4.0 | Focused on Operating Systems, Cloud Computing, and Distributed Systems
Software Engineer | Glosity
June 2022 - July 2023Created a profile recommender that matches skills to opportunities with 44% better accuracy.