Nathaniel Kavianu

I’m an Innovative, highly analytical Computer Engineering student at the University of Toronto, with a robust foundation in full-stack software development, low-level systems programming, and hardware-software integration. I architect scalable solutions, optimize complex algorithms, and deliver high-impact projects end-to-end.

In distributed systems, I’m currently building a fault-tolerant distributed key-value store from scratch, implementing Raft consensus across 5 nodes for strong data consistency. I optimized network communication with gRPC and Protocol Buffers, reaching 10,000+ ops/sec with sub-millisecond latency.

I also push deeply into systems work, developing a custom preemptive multitasking kernel with virtual memory management, round-robin scheduling, and synchronization primitives. Alongside that, I designed a lightweight file system and debugged challenging concurrency issues using GDB and QEMU.

I’m driven by real-world impact across AI and embedded platforms, including an AI-powered autonomous navigation robot using ROS-based SLAM and a trained YOLOv8 model for obstacle avoidance (95% accuracy). As a Software Lead in UTRA, I’ve directed a team of 15 to build an autonomous drone control stack, established CI/CD pipelines, and mentored junior members.