Thomas Nolasque
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About Me

I'm passionate about Web Development, Software Engineering, Cloud Security, and Artificial Intelligence. In our fast-paced, connected world, rapid learning and adaptation are crucial. I'm committed to constantly enhancing processes and implementing automation wherever feasible.

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My Experience

Department of National Defence

September 2024 - December 2024

Security Automation Engineer

Engineered and automated vulnerability management tasks across the organization.

Science Student Success Center - Carleton University

June 2024 - October 2024

Software Developer

Built a fullstack app for Carleton University staff, automating the matching of 100+ Students and Mentors, focusing on performance and ease of use.

Ontario Public Service

May 2024 - August 2024

Full Stack Developer

Developed a web application served in 280 ServiceOntario locations, streamlining the management of birth, marriage, and death certificates, automating processes to reduce errors and inconsistencies.

My Projects

Image of BeavarByteBuilder

BeavarByteBuilder

Developed a hardware setup solution with automated pinout validation, streamlining MCU/sensor integration and improving user experience.

C
C++
Python
Tkinter

Message Board

A robust message board application with advanced features including data management, RESTful API development, and a responsive front-end.

Docker
AWS Lambda & API Gateway
Vue.js
Tailwind CSS
FastAPI
PostgreSQL
Typescript
Python

Georgian AI, Hack the Valley 8

Developed methods to identify emerging entrepreneurs, showcased proofs of concept for predicting startup success and ranking pitches, and provided insights for identifying visionary leaders through AI-guided analysis.

Python
OpenAI API

Real-Time Chat App

A real-time chatroom application with private rooms, uniquely generated URLs, and reload-persistent functionality. Features a responsive, aesthetic interface and dynamic room management.

MongoDB
Express.js
React.js
Node.js
Socket.io
MaterialUI

DriveSafe AI, Borealis AI

Real-time driver risk assessment using Dashcam footage and machine learning. Predicts safe driving, collision, tailgating, and weaving events.

Jupyter Notebook
Python

CleanVision AI, Hack the Hill

An innovative waste sorting computer vision system featuring real-time UI updates, LED bin indicators, and audio feedback for enhanced accessibility.

C++
JavaScript
Python

My Skills

In my career thus far, I've been a full-stack developer with modern technologies like AngularJS and Springboot, and have also used Nextjs extensively for several projects, including this portfolio :). More recently, I have been handling and automating big data in the cloud, with tools like Tenable Security Center and Microsoft Defender Suite, along with Kusto and Python scripts. Amongst my projects I've even ventured into the field of artificial intelligence through OpenCV.

Contact Me

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