Software × Biomedical × ML

Sama Al-Oda

I build software systems where infrastructure, biomedical apps, and on-device intelligence meet — and I ship them.

View resume

McMaster University

Bachelor of Software Engineering, Double Major with Biomedical Engineering

GPA 3.96 · Expected May 2028

Experience

Internships where I owned real systems — from kernel telemetry to cloud ML.

Ottawa, ON

Software Engineering Intern (CyberDome / R&D)

Nokia

CPythonKubernetesDockerHelmJenkinsAnsible
  • Root-caused a production alert flood to bad live telemetry, then fixed the C collector so false alarms dropped from 580+/s to ∼1/s with no lost events – turning an unusable detector back into a reliable signal.
  • Debugged a silent telemetry failure where services appeared healthy but logs never reached monitoring, then validated end-to-end delivery across four deployment setups to catch failures before release.
  • Closed the loop from commit → image → install bundle, automating branch packaging and ensuring offline installs.
  • Designed a backup and recovery pipeline around a storage limit that blocked the usual approach, then proved backup → wipe → restore across deployments so learned system state could be recovered reliably instead of rebuilt from scratch.
Hamilton, ON

Software Developer Intern

Didar Lab / FendX Technologies

PythonSwiftAWSPostgreSQLREST APIs
  • Shipped AWS-backed REST APIs for concurrent mobile clients, covering authentication, session handling, and persistence while maintaining typical request latency under 200ms.
  • Built and maintained iOS and Android clients in Swift and Gradle, integrating PostgreSQL, Supabase, and Firebase to keep multi-user workflows consistent across devices and across the full client-to-backend data flow.
  • Turned research prototypes into product-ready services by wrapping inference behind APIs, automating data-processing pipelines, and hardening the path from notebook experiments to deployed software used in real-world mobile workflows.

Projects & hackathons

Award-winning builds — from multimodal AI to on-device disaster detection.

VALID: Decision-Support Platform

VALID: Decision-Support Platform

CUCAI Responsible AI Award
PythonFastAPIBERTXGBoost

Led a 10-person team to ship a multimodal decision-support backend, winning CUCAI 2026’s Responsible AI Award with 91% precision and 88% macro-recall on 120k+ unstructured records. Designed a FastAPI gateway around a BERT labeling pipeline and an ensemble of XGBoost, MLP, and Random Forest models, exposing versioned REST endpoints for downstream clients.

Disaster Detection App

Disaster Detection App

MEC 2nd Place
SwiftiOSREST APIsTwilio

Built an iOS app that fuses on-device sensors with a disaster-dataset API to detect hazardous events and trigger emergency alerts in under 5s, using Twilio SMS and local caching for reliable operation during connectivity loss.

KareBear

KareBear

ElleHacks 2nd Place / 100+ teams
React NativeTypeScriptGCP

Shipped a cross-platform Expo app with GCP integrations for real-time audio and visual processing, plus a conversational backend, placing 2nd of 100+ teams while delivering the full application under hackathon time constraints.

Technical skills

The stack I reach for across ML, cloud, mobile, and infra.

Languages

PythonC/C++SwiftJavaJavaScriptTypeScriptSQLBashMATLAB

Software & Systems

REST APIsFastAPIFlaskReact NativeNode.jsSpring BootLinuxeBPFPytestJUnit

Infrastructure

KubernetesOpenShiftDockerPodmanHelmAnsibleJenkinsGitLab CI/CDGit

Cloud & Data

AWS (S3, EC2)GCPPostgreSQLSupabaseFirebase

ML (supporting)

PyTorchTensorFlowHugging FaceScikit-learn