"Hello, I'm Mohammad Firas Sada"
Research networking systems engineer at ESnet, working remotely. Mostly data movement and programmable networks, plus the occasional paper walkthrough and the things I break.
Read more →Recent Posts
"Teaching the National Research Platform"
In 2025 I became an instructor for SDSC's NRP courses. It turned out to be the best part of the job, and it made me a better engineer.
Read more →"Metrics for an AI card: a Prometheus exporter for Qualcomm Cloud AI 100"
Twenty-plus metrics scraped from qaic-util every 15 seconds, power, temperature, NSP load, DRAM, inference load, in a tiny exporter that needs no custom image.
Read more →Recent projects
Gives plain JupyterHub the features that usually belong to Coder: SSH into user server pods over HTTPS, wildcard subdomain port forwarding, and one-click VS Code into a pod's workspace. Deploys as an overlay using only published extension points, no changes to core JupyterHub.
Multi-hub management for JupyterHub on Kubernetes: a hub that provisions and manages many JupyterHub Helm releases in separate namespaces, with a Kubernetes-based HubSpawner, RBAC, an authenticator, and a REST API for programmatic control.
Reproduction artifact for the PEARC '26 paper 'LLMs or Naive Bayes? Old Gems or New Ways'. Complement Naive Bayes vs zero/few-shot LLMs across four model families and a 37x scale range, with a Helm operator that picks the model by policy and Prometheus metrics you can verify.
Just Another Interpreter Like Yours: a Java transpiler that converts natural-language rules (NRL) into BPF packet filters. Parser plus code generator, stateful rules, manual packet manipulation, evaluated against PCAP files, applied with a C toolchain. Tell your filter what you want in English.
Minimal sFlow collector for Kubernetes: listens on UDP/6343 behind a ClusterIP service, decodes samples to JSON (sflowtool -J) or PCAP (-t), and self-tests with a synthetic packet. The practical way to get real packet data on the National Research Platform.
Prometheus exporter for Qualcomm Cloud AI 100 accelerators. Scrapes qaic-util every 15 seconds and exposes 20+ per-QID metrics (power, temperature, DRAM, NSP utilization, inference load). Injected as a ConfigMap, no custom image needed.