John Doe

Systems Programming • ML Enthusiast • OSS Advocate

About Me

I’m a third‑year Computer Science & Engineering undergrad with a passion for low‑level systems design, machine learning and open‑source philosophy. When I’m not debugging kernel modules or training neural nets, I contribute to community projects on GitHub, run a small Linux distro in my spare time and experiment with Rust’s safety guarantees.

Projects

OS‑Lite – Minimal Kernel Prototype

A toy operating system written in C++/Assembly that demonstrates paging, process scheduling and interrupt handling.

Neural‑Net‑CLI – ML from Scratch

A command‑line neural network trainer implemented in Python + PyTorch, featuring real‑time loss curves and hyper‑parameter tuning.

Rusty‑Cache – Concurrent LRU Cache

A thread‑safe, lock‑free least‑recently‑used cache built in Rust, designed for high‑throughput microservices.

Skills

Internships

Software Engineer Intern – TechNova Ltd.

May 2024 – Aug 2024

Developed micro‑services for the company’s distributed analytics platform using Go, Docker and Kubernetes. Implemented a real‑time monitoring dashboard with Grafana.

Research Assistant – University AI Lab

Jan 2024 – Apr 2024

Explored reinforcement learning for autonomous drone navigation. Contributed to the lab’s open‑source project “FlyNet”.

Contact

Feel free to drop me an email or connect on LinkedIn. I’m always happy to discuss projects, collaborations or open‑source contributions.