Moosa Alam / computer science co-op

I build the
systems
underneath.

Linux, networking, cloud infrastructure, and automation — explored through hands-on engineering work at the University of Guelph.

See the work Résumé

01 a system is a story about flow

systems / in motion

Select a component to inspect the path.

illustrative simulation

router

Routes traffic between isolated networks and makes the path observable.

See the engineering work ↓

An interactive map of the questions I like asking: where does a packet go, what can stop it, and how do we know?

03 / context

Curious about the layers most people never see.

Computer Science co-op student at the University of Guelph, building depth in systems programming, Linux, networking, cloud infrastructure, and automation.

I’m developing toward AI/HPC infrastructure and high-performance networking through hands-on labs and careful troubleshooting. I’m looking for software, systems, cloud, and networking opportunities.

Education

Bachelor of Computing (Co-op) · Computer Science
University of Guelph · Expected April 2029
Area of emphasis: Cybersecurity

Credentials

AWS Certified Cloud Practitioner
Certified · Amazon Web Services

CCNA
In progress · Cisco

Leadership

Technical Lead · The J Healthcare Initiative

Events Chair · University of Guelph Cloud Computing Club

02 / experience

Turning messy signals into useful engineering decisions.

Apr 2026 – Sep 2026 · Remote

AI Systems Engineering Intern

SYNK

Analyzed runtime telemetry to enhance platform reliability by 18% for over 60 concurrent users.
Identified performance bottlenecks, leading to a 14% reduction in frame-time degradation.
Conducted stress tests on concurrent workloads, resulting in 12% improved system performance through actionable optimization recommendations.

Jan 2026 – Apr 2026 · Toronto, ON · Hybrid

Software Engineer Intern

Vibez Music

Developed Python and Flask tools that automated operational processes, improving workflow throughput by over 40%.
Enhanced system reliability through structured logging, request validation, and error handling.
Implemented automated testing and deployment using GitHub Actions CI/CD, resolving integration and production issues.

01 / selected work

Built to learn what the system is actually doing.

01verified lab work

Virtualized Network Home Lab

Linux, Docker, GitHub Actions, Wireshark · Segmented multi-host lab with isolated subnets, IPv4 routing, DNS, DHCP, NAT, SSH, and firewall rules — validated with ping, traceroute, and packet analysis.

LinuxDockerIPv4DNSWireshark

View source

02verified lab work

User-Space VPN Tunnel

Python, Linux, TUN/TAP, UDP, Wireshark · Point-to-point VPN that encapsulates and routes IP packets between isolated endpoints with forwarding, NAT, firewall rules, and authenticated encryption.

PythonTUN/TAPUDPLinuxpacket capture