Implemented a modified KVM module in the Linux kernel to support Trusted Execution Environments (TEEs).

Developed implementation using C,RISC-V, and hardware primitives for sub-OS layer support.

Researched and developed alternative Memory Management techniques for TEEs.

Examined the provision of OS/hardware level cryptographic security assurance for VMs on cloud servers.

Implemented a High-Performance Data Analysis pipeline to showcase cloud management systems.

Developed a dynamic process management solution using Message Passing Interface for distributed systems.

Conducted platform reviews and offered optimization recommendations to company teams.

Developed a Machine Learning classification system in Python for analyzing TESS space telescope’s data.

Built an AI-driven ensemble of three ML models incorporating techniques such as HDBSCAN clustering,

Isolation Forest anomaly detection, and t-SNE dimensionality reduction.

Achieved efficient data management with an x8 size reduction, preserving accuracy at 95%