🎓 Computer Science Graduate • ☁️ AWS SAA + CCP Certified • ⚙️ Cloud & DevOps Enthusiast • 💻 Software Developer

I'm a Bachelor of Applied Computer Science graduate from Dalhousie University, currently based in Victoria, British Columbia, Canada.

My main focus is Cloud Engineering, AWS, DevOps, infrastructure automation, and software development.

I enjoy working across the complete lifecycle of a system:

Architecture → Infrastructure → Development → CI/CD → Testing → Deployment → Monitoring → Troubleshooting

• 🎓 Graduated from Dalhousie University in December 2025
• ☁️ AWS Certified Solutions Architect – Associate
• ☁️ AWS Certified Cloud Practitioner
• 🏗️ Building cloud infrastructure with AWS + Terraform
• 🐳 Working with Docker and containerized workloads
• ⚙️ Interested in DevOps, Platform Engineering, Cloud Engineering & SRE
• 💻 Background in full-stack software development
• 🔧 Experience with technical and hardware troubleshooting
• 📍 Based in Victoria, BC
• 🇨🇦 Open to relocation across Canada
• 🔎 Open to full-time technical opportunities

AWS Certified Solutions Architect – Associate	AWS Certified Cloud Practitioner
September 2026 – September 2029	June 2026 – June 2029

AWS Terraform Docker Linux Infrastructure as Code CI/CD

EC2 S3 VPC IAM RDS DynamoDB Lambda API Gateway

Cognito CloudFront EFS EventBridge SQS SNS CloudWatch

Secrets Manager Systems Manager Elastic Load Balancing ECR SageMaker

Python Java C JavaScript TypeScript SQL

React HTML5 CSS3 Tailwind CSS Vite

Node.js Express.js Flask PHP REST APIs

MySQL PostgreSQL DynamoDB

Git GitHub GitLab VS Code Docker Terraform

CodePipeline CodeBuild CI/CD Jira Agile/Scrum

Terraform • AWS • EC2 • RDS • EFS • CloudFront • ALB • CI/CD

                    Internet
                       │
                       ▼
                  CloudFront
                       │
                       ▼
            Application Load Balancer
                       │
              ┌────────┴────────┐
              ▼                 ▼
        Private EC2        Private EC2
           AZ-1               AZ-2
              │                 │
              └────────┬────────┘
                       │
                  Shared EFS
                       │
                       ▼
                   RDS MySQL

A Terraform-managed AWS WordPress platform built to explore highly available cloud infrastructure and automated deployment.

• Deployed two private EC2 instances across two Availability Zones.
• Used CloudFront and an Application Load Balancer for application delivery.
• Used RDS MySQL for structured application data.
• Used EFS for shared application storage.
• Implemented private networking, scoped IAM roles, Secrets Manager, and automated EC2 bootstrap.
• Built a five-stage CI/CD pipeline using CodePipeline, CodeBuild, and AWS Systems Manager.
• Implemented rolling deployments, release checksums, health validation, and public smoke testing.
• Troubleshot and resolved a CloudFront redirect issue.
• Verified infrastructure teardown after testing.

AWS • Terraform • Python • React • EventBridge • SQS • Lambda • DynamoDB

AWS Activity
     │
     ▼
 EventBridge
     │
     ▼
    SQS
     │
     ▼
Python Lambda
     │
     ▼
  DynamoDB
     │
     ▼
 API Gateway
     │
     ▼
React / TypeScript Dashboard

A serverless security application that turns selected AWS activity into trackable security incidents.

• Built an event-driven architecture using EventBridge, SQS, Python Lambda, DynamoDB, and DynamoDB Streams.
• Developed a React + TypeScript investigation dashboard.
• Implemented Cognito MFA and protected API access.
• Added investigation notes, incident history, and version-checked updates.
• Implemented duplicate-event protection.
• Automated releases using CodePipeline and CodeBuild.
• Created 33 Python tests + 7 frontend tests.
• Verified 10 incidents from 15 synthetic-event submissions with no duplicate incidents from replayed events.

AWS • Terraform • Docker • Python • ECR • CodeBuild • Machine Learning

             Transaction Stream
                     │
                     ▼
             Kinesis Data Streams
                     │
                     ▼
                  Lambda
                 /      \
                ▼        ▼
               S3     DynamoDB


              ML Workflow
                   │
                   ▼
                Docker
                   │
                   ▼
               CodeBuild
                   │
                   ▼
                  ECR

A cloud and machine-learning project exploring reliable transaction processing and model validation.

• Designed a Terraform-managed transaction pipeline using Kinesis Data Streams, Lambda, S3, and DynamoDB.
• Designed validation, quarantine, duplicate-prevention, raw-data preservation, and operational-state workflows.
• Built and tested a Docker-based ML workflow using CodeBuild, ECR, and S3.
• Evaluated 3,000 synthetic records:
  • 1,800 training records
  • 600 threshold-tuning records
  • 600 evaluation records
• Achieved an F1 score of 0.9298.
• Rejected a deliberately poor model through model-quality validation.
• Tested container vulnerability gates.
• Designed SageMaker model versioning, manual approval, batch prediction, and drift controls.

React • Flask • Python • MySQL • Gemini • GitLab CI/CD

Dataset + Source Code + Errors
             │
             ▼
           DEEBUG
             │
             ▼
       Gemini Analysis
             │
             ▼
   Debugging Recommendations

An AI-driven platform designed to help developers investigate machine-learning model problems.

• Built with React, Flask, and MySQL.
• Integrated Gemini-powered debugging recommendations.
• Supported dataset uploads, source-code workflows, and persistent debugging interactions.
• Worked across frontend, backend, testing, and deployment.
• Used GitLab CI/CD for automated delivery workflows.
• Deployed using Netlify, Google App Engine, and Railway.
• Collaborated as part of an Agile development team.
• Contributed to 10+ features and enhancements.

React • TypeScript • Vite • Telegram Mini Apps • TON Connect

Telegram
   │
   ▼
Mini Apps SDK
   │
   ▼
React + TypeScript
   │
   ├──── Bot API
   │
   └──── TON Connect

• Built a full-stack Telegram Mini App in a four-person team.
• Integrated the Telegram Mini Apps SDK and Telegram Bot APIs.
• Integrated TON Connect.
• Developed responsive interfaces across 10+ screens and workflows.
• Contributed to frontend development, backend integration, testing, and deployment.
• Participated in Agile sprint planning and code reviews during a 12-week development cycle.

Python • Pygame • Object-Oriented Programming

Python
  │
  ▼
Pygame
  │
  ├── Player Mechanics
  ├── Menus
  ├── Scoring
  ├── Characters
  └── BCI Concepts

• Developed an interactive Python game with an eight-person team.
• Explored Brain-Computer Interface concepts through gameplay.
• Developed gameplay mechanics, menus, scoring, and interactive components.
• Applied object-oriented programming across modular game components.
• Used Git for collaborative feature development, debugging, and integration.

Bachelor of Applied Computer Science

📍 Halifax, Nova Scotia, Canada
📅 September 2022 – December 2025

Network & Cloud Computing
Information Security
Software Engineering
Data Structures & Algorithms
Server-Side Scripting
Object-Oriented Programming
Database Systems
Human-Computer Interaction

Open to Cloud Engineering • DevOps • Platform Engineering • Software Engineering opportunities across Canada 🇨🇦