Hi, I'm AdemπŸ‘‹

I build practical software across cloud, data, and AI β€” with experience in consulting and real delivery.

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Education

TMU Logo

Toronto Metropolitan University

Bachelor of Science in Computer Science

Sep 2021 β€” June 2026 (Expected)

πŸ“š 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

πŸ† 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˜…Dean’s List Scholar β€” Maintained GPA above 3.5 (2022, 2023).

πŸ‘₯ 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

EY Logo

Cloud & Software Engineering Intern

Jan 2025 β€” Aug 2025

Ernst & 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.
Enbridge Logo

Business Analyst Intern (App Developer)

May 2024 β€” Aug 2024

Enbridge 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.
Messagepoint Logo

Technical & Business Solutions Intern

Sep 2023 β€” Dec 2023

Messagepoint 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

Mar 2023
  • β€’Architected and led the development of an emergency response system that secured the β€œFuture Impact Award” 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

Oct 2022 β€” Dec 2022
  • 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.