
About Me
👋🏾 Hi ! I am Daryll Giovanny, a 2nd Computer Science student at Carleton University focused on building scalable software solutions. Explore my portfolio to see my experiences, the projects I’ve built, and the skills I’m continuing to develop.
Experience
Microsoft For Startups
Role: Program Participant
- Selected for Microsoft’s startup program supporting early-stage founders with mentorship, GitHub Enterprise access, and up to $150K in Azure credits.
- Building Akiba, a real-time humanitarian engagement platform for nonprofits and their supporters.
Mobile Telephone Network (MTN)
Role: Software Engineer Intern
- Worked on MTN’s a digital platform, using React.js and Django, improving transaction flow by 20%.
- Built 10+ RESTful APIs and 50+ automated tests (PyTest, Jest), reducing bugs by 30% and supporting bi-weekly CI/CD deployments.
Potforlio

Project: Real Time Chat Web Application
TeckStack: React, Firebase, Context API, CSS
Description: A messaging platform built with React and Firebase that supports real-time communication, user authentication, profile customization, and chat history. Designed for a smooth and secure user experience.

Project: E-Commerce Website UI
TeckStack: HTML, CSS & JavaScript
Description:A responsive web interface for online shopping, built with HTML, CSS, and JavaScript. Features a clean product catalog, intuitive navigation, and a design focused on user experience and performance.

Project: Multithreaded Space System Simulation
TeckStack: C, POSIX Threads, Semaphores
Description: A concurrent simulation in C using POSIX threads and semaphores to model spacecraft operations, and real-time resource management. Highlights the power of parallel computing in complex systems.

Project: Microservices School Management System
TeckStack: Java, Spring Boot, PostgreSQL, Docker, Eureka, Feign
Description: A modular, scalable system using Java, Spring Boot, PostgreSQL, and Docker. Built with distributed microservices to manage student, teacher, and course data, supporting independent deployment and communication through Eureka and Feign

Project: House Cost Predictor
TeckStack: Python, Pandas, Scikit-learn, Random Forest, Linear Regression
Description: A machine learning model that estimates housing prices using Scikit-learn and real estate data. Implements Random Forest and Linear Regression to provide accurate, data-driven insights for buyers, sellers, and investors.
Even More...
🔍 Currently seeking Summer 2026 Internship opportunities!
💻 Technical Skills
Languages: Python, JavaScript, Java, C++, SQL, HTML/CSS
Frameworks & Libraries: React, Node.js, Flask, Scikit-learn, Pandas, Spring Boot
Tools & Platforms: Git, Docker, Firebase, GitHub Actions, PostgreSQL, AWS S3
Practices: Agile/Scrum, REST APIs, Unit Testing (Jest, PyTest), Technical Documentation
🎓 Academic Achievements and Honors:
Dean’s Honor List (2023-2024)
Selected Member, Golden Key International Honour Society
2023 President’s Scholarship ( CAD 3,000)
2024 J. Lorne Gray Scholarship (CAD 3,000)
2025 Ontario Ukraine Scholarship (CAD 10,000)
