Youssef Ahmed

The name's Youssef. I'm addicted to coffee ☕ …and to fishing 🎣 I turn messy data into tools people use. CS + Statistics at UBC.

Charting the island

Stop 01 · Base Camp

Base Camp

I'm a second-year Computer Science and Statistics student at UBC. I like taking messy, real-world data and building something useful on top of it, from benchmarking student performance across national datasets to forecasting transit surges from 21.5M cell-tower pings.

Right now I'm building analytics and AWS infrastructure at Seen Education. I'm looking for co-op roles in data, ML, and cloud engineering.

Based in Vancouver, BC
CS + Statistics at UBC
Happiest with a fishing rod in hand

Stop 02 · Lighthouse

Experience

Software Developer, AI Analytics & DevOps
Seen Education
Aug 2026 – Present
- Developed a Python platform that analyzes and benchmarks student performance across grades, schools, and national datasets, including automated scale score calculations and statistical comparisons.
- Automated client-ready school reports (charts, comparisons, executive summaries) for non-technical stakeholders.
- Provisioning AWS infrastructure with Terraform to support a hosted deployment across schools throughout the Middle East, serving thousands of students.
Building a Python analytics platform and its AWS infrastructure for schools across the Middle East.
Ontology Researcher & Information Architect
Roots Solutions & Automation
- Ontology design
- Information architecture
- AI context
May – Aug 2026
- Translated how organizations operate (their people, assets, documents, operations, events, commitments, and transactions) into a universal ontology that serves as a structured context layer for AI.
- Developed a framework of formal, reusable definitions that lets AI understand organizational structure, relationships, and processes across different companies and industries.
Designed a universal ontology that gives AI a structured picture of how organizations work.
Intern
Roots Solutions & Automation
- Site research
- 3D reconstruction
Jun 2022 – Jul 2024
- Visited industrial sites across Egypt and the UAE to document operational issues and planned automation.
- Researched multi-view 3D reconstruction methods for a proposed multi-camera rig that scans parts as they move.
Documented operational issues at industrial sites across Egypt and the UAE.

Stop 03 · Factory

Skills

Languages

Data & ML

Cloud & DevOps

Integration

Tools & practices

Stop 04 · Village

Extracurriculars

Rogers x Databricks Hackathon
UBC, Vancouver
Sep 2026
- Co-built CrowdCost with a 5-person team: a Next.js/TypeScript and FastAPI console that flags transit surges at UBC, Waterfront, and Park Royal one hour ahead (82% caught in a backtest) and recommends moving spare buses.
- Built a 9-task Databricks pipeline in PySpark and SQL over 21.5M cell-tower pings and TransLink data that cleaned the data our surge model trained on, plus a LightGBM forecaster (MLflow) and a SciPy bus optimizer.
- Placed 4th after pitching a live demo to judges from TransLink, PwC, Databricks, Rogers, West Vancouver, and UBC.
4th place with CrowdCost, which flags transit surges an hour ahead (82% caught in a backtest).
T-CAIREM National Health Datathon
UBC, Vancouver
Oct 2026
- Modeled ICU-transfer risk from the first 8 hours of an admission with a 9-person team from pharmacy, medicine, and data science, using 22,000+ de-identified St. Michael's Hospital inpatient encounters.
- Co-built the XGBoost model (ROC-AUC 0.743) in a secure research environment, after the team widened scope to all general internal medicine patients because the stroke and 24-hour subsets were too small.
Modeled ICU-transfer risk from the first 8 hours of a hospital admission (ROC-AUC 0.743).
Amazon Robotics Hackathon
UBC, Vancouver
- Dijkstra
- Path planning
Sep 2026
- Placed 14th of 49 teams (team of 4) on a real-world problem set by Amazon Robotics engineers: routing warehouse robots that carry inventory pods to pick stations, scored on delivery speed across hidden test cases.
- Benchmarked multiple routing strategies in pure Python and shipped a congestion-aware Dijkstra planner that predicts when busy aisles clear, with greedy robot-to-pod assignment, batched pickups, and dock clearing.
14th of 49 teams with a congestion-aware route planner for warehouse robots.

Stop 05 · Harbor

Projects

Valet Parking App
UBC Software Construction (academic)
Jan – Apr 2026
- Developed a Java desktop application with a Swing GUI and a console UI backed by the same model, supporting vehicle check-in, slot allocation, retrieval, and real-time wait time estimation.
- Achieved high JUnit 5 test coverage across the model and persistence layers and documented the architecture in UML.
- Built an event-driven n8n workflow that updates vehicle records in Supabase as cars enter or leave.
A Java desktop app for valet check-in, slot allocation, and live wait-time estimates.
HR Screening Automation
Personal project
May 2026
- Automated an HR intake process: the workflow monitors incoming emails for resumes, transforms them into structured candidate records, and screens applications against specified selection criteria.
An n8n workflow that turns emailed resumes into screened candidate records.

Stop 06 · Jet Ski

Hobbies

Fishing
Happiest with a rod in hand, waiting on a bite. That's my rowboat in the lagoon.
Spearfishing
One breath, one shot: hunting my own dinner below the surface.
Kayak fishing
Paddling out past the shore break to where the bigger fish are.
Wakeboarding
Carving back and forth across the wake behind the boat.
Skiing
When winter comes, I trade the sea for the slopes.
Hiking
Chasing views on the trails around Vancouver.
Cooking
From the day's catch to slow-roasted lamb over spiced rice.