j
joey_paquette

Joey

@joey_paquette

Software Developer

Kanada
Französisch, Englisch
Einige Informationen werden in englischer Sprache angezeigt.
Über mich
Hi! I'm a Software Engineering graduate specializing in Python automation, API integrations, and backend development. I help businesses save time, eliminate repetitive tasks, and streamline workflows through reliable software solutions. My services include: - Python scripts and task automation - REST API development and integrations - Data extraction, processing, and transformation - Custom backend solutions using FastAPI and SQL I focus on writing clean, efficient, and maintainable code tailored to your needs. Let's turn your challenges into automated solutions!... Mehr lesen

Kompetenzen

j
joey_paquette
Joey
offline • 

Meine Dienstleistungen

API & Integrationen
I will integrate rest apis and automate workflows using python
KI-Implementierung und -Bereitstellung
I will ai automations and llm integrations using python and n8n

Arbeitserfahrung

OODA_Technologies

Software Developer - Intern

OODA Technologies • Vollzeit

Jan 2025 - Apr 2025 • 3 mos

• Developed software in Python for a project commissioned by National Defence Canada. • Designed a modular backend optimized for scalability and maintainability. • Reduced data processing times by 60% using NumPy, SciPy, and multiprocessing. • Analyzed bathymetric data with GeoPandas and Shapely, improving geospatial reliability. • Wrote unit tests and performance benchmarks with Pytest to enhance code robustness.

Intact_Financial

Java Developer - Intern

Intact Financial • Vollzeit

Sep 2023 - Dec 2023 • 3 mos

• Developed Java features for the insurance product catalog. • Designed unit tests using Concordion and Excel, increasing test coverage and reducing functional errors. • Resolved bugs reported via Jira, improving software quality and customer satisfaction.

Evident_Industrial

DevOps Developer - Intern

Evident Industrial • Vollzeit

Sep 2022 - Dec 2022 • 3 mos

• Implemented and maintained a CI/CD pipeline (GitLab, YAML) for a core application, automating recurring tasks and accelerating development cycles. • Automated workflows using internal tools built with Python and PowerShell. • Created Docker images for building and running application modules.