Hi, I'm

Aly Anany

|

Computer Engineering at UoG. Building in AI, cloud, and robotics since first year.

3.8

GPA

$45K

Scholarships

4

Tech Roles

🎾

Varsity Squash

Scroll

Get To Know Me

About Me

I'm Aly Anany, a Computer Engineering student at the University of Guelph with a 3.8 GPA. I've had paid technical roles since my first year, mostly in AI, cloud infrastructure, and robotics.

In the last two years I went from annotating images for a strawberry-picking robot to shipping a production AI legal assistant used at a real consulting firm. I like working on things that are actually deployed and used by real people.

Outside of engineering, I play varsity squash for the UoG Gryphons and have coached squash at the YMCA. I've also lifeguarded, volunteered at Hope House, and stayed involved on campus through the Muslim Student Association.

Location

Guelph, ON

GPA

3.8 / 4.0

Degree

B.Eng. Computer Engineering

Grad

May 2028

🎾

Athletics

Varsity Squash, University of Guelph Gryphons

Active

Hobbies & Interests

🎾Varsity Squash
🤖Robotics & Hardware
🧠ML Side Projects
🏋️Gym & Fitness
🥾Hiking
📚Reading
🎮Gaming
Coffee & Deep Work

What I've Done

Experience

Software & Cloud Consultant

Extrada Tech Ltd.

Jan 2026 – Sept 2026Toronto, ON (Remote)
  • Integrated 4 CRM APIs into Fabric via PySpark ETL pipelines, automating 500K+ records for 33 brands
  • Engineered Dataflow Gen2 pipelines across 3 lakehouses, reshaping 192-column field service datasets for Power BI
  • Integrated Azure AI Foundry with vector RAG, content guardrails, and safety evaluations across 6 document formats; deployed a production AI legal assistant to Azure Web Apps via GitHub Actions, cutting legal research time by 60%
  • Designed a Copilot Studio agent on Teams to auto-generate 9-section structured client reports via Power Automate, cutting report generation from 3 hours to under 15 minutes per client visit
  • Built an Azure Data Factory pipeline transforming 42K+ rows across 5 stages with automated SFTP export
AzurePySparkPower BIAI FoundryCopilot StudioPower Automate

Simulation & Computer Vision Engineer

Robotics Institute

May 2025 – Sept 2025Guelph, ON
  • Built dual-camera RealSense + OpenCV vision system achieving <1cm 3D localization across 2 sensors, enabling precise robot arm targeting for autonomous strawberry pick-and-place
  • Engineered real-to-sim pipeline with Hough circle detection for RGB/depth-to-MuJoCo STL conversion, achieving 35% faster scene processing and 20% improvement in pick-and-place planning accuracy
OpenCVIntel RealSenseMuJoCoPython3D Vision

AI/ML Research Assistant

University of Guelph

Sept 2024 – May 2025Guelph, ON
  • Optimized YOLOv9 via YOLO Tune, increasing strawberry detection IoU by 12% and cutting labeling time by 200%
  • Authored a 40-page ML research report and lab manual, onboarding 3 researchers and building reusable pipeline docs
YOLOv9PyTorchComputer VisionCUDA

Machine Learning Developer

Robotics Institute

Apr 2024 – Sept 2024Guelph, ON
  • Led the full ML pipeline for a YOLOv9 harvesting robot: annotated 970 images, trained on GPU via CUDA, and hit an F1 score of 0.88
  • Developed a 2-stage approach combining instance segmentation with HSV color analysis to classify 5 ripeness classes
  • Deployed the model on a ROS2 robotic system with real-time inference for autonomous pick-and-place
YOLOv9ROS2CUDAPythonInstance Segmentation

What I've Built

Projects

ProxyCoach AI

Live Production AI Fitness Coach

Live
50+ Active Users
Multi-tenant AI fitness coaching platform for YMCA trainers. Each trainer gets their own RAG knowledge base scoped to their clients, with full SSO and audit logging.
  • Architected a multi-tenant Next.js platform gating 10+ YMCA trainers behind @ytr.ymca.ca Entra ID SSO, onboarding 50+ clients via PT-issued Microsoft Graph B2B invitations
  • Cut unsafe coaching responses to 0 by enforcing a 38-term guardrail across 3 RAG agents on Azure AI Foundry, with every blocked query logged to a Neon Postgres audit table
  • Automated trainer document ingestion in under 30s by chaining Blob Storage uploads to an Azure Function that extracts PDF, Word, Excel, and CSV content into isolated AI Search indexes
Next.jsAzure AI FoundryEntra IDRAGNeon PostgresTypeScript
ClientOps MCP

MCP Server on Azure Functions

Onboarding: 2hr to 2min
An MCP server on Azure Functions that provisions a full client environment across Linear, SharePoint, and TrackingTime in a single prompt. Live on Claude.ai as an MCP connector.
  • Built an MCP server via Azure Functions mcpToolTrigger bindings, provisioning Linear projects, SharePoint sites, and TrackingTime workspaces across 3 services in one shot
  • Registered as a live Claude.ai MCP connector, cutting per-client onboarding from 2 hours to under 2 minutes by replacing manual multi-tool coordination with a single prompt
  • Scripted full infrastructure deployment via Azure CLI and PowerShell, provisioning 6 Key Vault secrets, Function App bindings, and storage in a single repeatable run
MCPAzure FunctionsLinearSharePointPowerShellTypeScript

My Toolkit

Skills

Languages

PythonTypeScriptJavaScriptCC++JavaSQLBash

Cloud & DevOps

Azure AI FoundryMicrosoft FabricAzure Data FactoryAzure FunctionsAzure Key VaultAzure AI SearchBlob StorageEntra IDEvent GridCopilot StudioPower AutomateDockerGitHub ActionsCI/CDLinux

Data & Databases

PostgreSQLMySQLDelta LakePySparkPower BIPrisma

Frameworks & Tools

OpenCVOpen3DROS2MuJoCoPyTorchTensorFlowNumPyPandasscikit-learnMCPGitNext.js

Academic Background

Education

B.Eng. in Computer Engineering

University of Guelph

Guelph, ON
GPA:3.8 / 4.0
Sept 2023 – May 2028 (Expected)

Relevant Courses

Data StructuresOperating SystemsComputer NetworksMachine LearningDigital SystemsAlgorithms

Scholarships & Awards

Total awarded$45,000

Let's Connect

Get In Touch

Feel free to reach out, whether that's about a project, an opportunity, or just to say hi.

Send me an email

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