PhD researcher and innovator with strong background in R&D

Personal summary

Industry-focused researcher and engineer specializing in edge–cloud computing, distributed systems, and scalable infrastructure solutions. I help organizations design and optimize efficient resource allocation strategies across cloud, edge, and serverless environments, enabling high-performance and cost-effective systems. My expertise includes algorithm design, system modeling, and optimization of networked architectures, with hands-on experience translating complex technical challenges into deployable solutions. I work across the full stack of system design—from problem formulation to implementation—using C/C++, Rust, and Python. I bring a strong collaborative approach, having mentored and co-supervised over 10 graduate-level engineers and researchers from diverse backgrounds. This experience enables me to integrate quickly into teams, support technical growth, and drive projects toward measurable outcomes. I also have experience in technical proposal development and innovation strategy, helping teams structure ideas into fundable and scalable projects while aligning with industry and organizational goals. I am particularly interested in industry projects involving distributed systems, performance optimization, and next-generation computing environments, including applications in autonomous systems and intelligent infrastructure. Let’s build efficient, scalable, and future-ready systems.

Skills

Python10 R&D management10 Cyber security2 Network management5 k-nearest neighbors algorithm3 k-means clustering5 Random Forest2 Machine learning2 Docker3 Kubernetes2 Objectoriented Programming (OOP)2 Unsupervised Learning5