Hi, I'm Ademπ
I build practical software across cloud, data, and AI β with experience in consulting and real delivery.
β
Education

Toronto Metropolitan University
Bachelor of Science in Computer Science
π Relevant Coursework
Data Structures & AlgorithmsSoftware Engineering I & IIOperating SystemsDatabase SystemsData MiningSoftware Tools for StartupsArtificial IntelligenceComputer NetworksWeb Development I & IIPython ProgrammingJava ProgrammingC & C++ ProgrammingObject-Oriented ProgrammingData Science
π Awards & Achievements
- β Geoff Boyes International Student Leadership Award β (Feb 2025)
- β Future Impact Award β 1st place in UofT ML/AI Hackathon, out of 250+ participants (Mar 2023).
- β Finlayson Innovation in User Experience Design Award β Award presented by Google UI/UX Engineer (Jan 2023)
- β Deanβs List Scholar β Maintained GPA above 3.5 (2022, 2023).
π₯ Extracurriculars
- β’Coffee Chat Volunteer @ Ernst & Young Ripples Program (Jul 2025 - Present)
- β’Co-President @ Hack the Valley Hackathon (Jan 2024 - Jan 2026)
- β’Logistics Team Lead @ TMU UI/UX Club (Apr 2023 - Apr 2024)
- β’Finance Coordinator @ Hack the Valley Hackathon (Feb 2023 - Jan 2024)
Experience
Cloud & Software Engineering Intern
Jan 2025 β Aug 2025Ernst & Young β’ Toronto, ON
- Built backend services and Infrastructure as Code for a cloud migration project using Azure Bicep and Azure services, improving deployment reliability.
- Implemented cloud-based backend components aligned with functional/non-functional requirements, contributing to architecture and reliability testing.
- Led end-to-end development of an AI-driven product detection service using C#, .NET, Node.js, and Java (90%+ accuracy).
- Developed backend features for an internal AI-assisted DevSecOps platform integrating GitHub, Jira, and multiple LLM providers using AWS Bedrock.

Business Analyst Intern (App Developer)
May 2024 β Aug 2024Enbridge Inc. β’ Toronto, ON
- Designed and developed an internal application network visualization tool using Python and Flask, supporting incident impact visibility across 150+ applications.
- Integrated backend services with ServiceNow APIs for live incident tracking, CI mapping, and system-level impact analysis.
- Built observability dashboards using Dynatrace, instrumenting queues and system metrics to detect performance issues.
- Implemented and validated backend changes through testing, patching, and controlled prod rollouts across enterprise environments.
Technical & Business Solutions Intern
Sep 2023 β Dec 2023Messagepoint Inc. β’ Toronto, ON
- Developed Python and JavaScript automation scripts to support solution implementation workflows (transformation, validation, internal tooling).
- Implemented and tested integrations using REST and SOAP APIs, working with structured formats (XML, JSON, CSV).
Projects
SOSNLP (GreenSleuth)
Python β’ NLP β’ Git β’ JavaScript
- β’Architected and led the development of an emergency response system that secured the βFuture Impact Awardβ at UofT (250+ participants).
- β’Engineered a real-time NLP pipeline integrating OpenAI API and pyttsx3 to perform semantic analysis and low-latency text-to-speech synthesis.
- β’Implemented Named Entity Recognition (NER) to autonomously parse unstructured voice data, extracting critical entities like geolocation and incident details.
- β’Optimized emergency workflow efficiency, demonstrating a projected 80% reduction in response latency by automating the triage process.
Connecthlete Mobile App
Java β’ Android SDK β’ Firebase β’ Google Maps API
- β’Architected a native Android application using Java and XML, integrating Firebase Auth and Realtime Database for secure, low-latency data synchronization.
- β’Engineered real-time geolocation features using Google Maps API and Fused Location Provider to enable precise user matching and tracking.
- β’Optimized UI rendering performance by implementing RecyclerView with asynchronous data updates for smooth scrolling lists.
- β’Collaborated with a teammate in a time-constrained Agile environment to deliver a fully functional MVP in under 34 hours.