Masood
Naqvi

Computer Science @ Wilfrid Laurier University  ·  Artificial Intelligence & Cloud Architecture

Building scalable AI systems and cloud-native architectures with measurable impact.

Background

I am a Computer Science student at Wilfrid Laurier University, pursuing a Bachelor of Science with concentrations in Artificial Intelligence & Machine Learning and Cloud Computing, expected May 2028.

My work focuses on designing and deploying production-grade AI systems — from serverless healthcare triage pipelines on AWS to backend automation frameworks serving small businesses. I approach engineering problems through the lens of measurable outcomes: system performance, operational efficiency, and architectural durability.

Currently serving as a Software Development Intern at Zentri AI, I contribute to client-facing AI automation workflows and proof-of-concept tooling. I hold the AWS Certified Cloud Practitioner credential and continue to deepen expertise across distributed cloud infrastructure and applied machine learning.

I am interested in roles and projects that sit at the intersection of AI research and real-world deployment — where theoretical models become reliable, scalable systems.

University
Wilfrid Laurier University
BSc Computer Science, Expected May 2028
Concentrations
Artificial Intelligence & Machine Learning
Cloud Computing
Certification
AWS Certified Cloud Practitioner (CLF-C02)
LinkedIn

Work

Software Development Intern
Zentri AI — AI Automation & Client Operations
Aug 2025 — Current
  • Streamlined end-to-end workflows for 60+ small businesses using AI-enabled automation tools, reducing manual overhead and improving operational throughput.
  • Architected and deployed backend automations for chatbot systems, lead-generation funnels, and CRM pipelines — improving client response efficiency by up to 40%.
  • Collaborated on proof-of-concept AI tooling to validate integration strategies and demonstrate product value to prospective clients.
  • Contributed across the full stack of client operations from scoping to deployment, developing hands-on experience with production-grade AI workflows.

Selected Work

Project 01 / Healthcare AI

Autonomous AI Healthcare Intake & Triage Agent

  • Reduced patient intake processing times by 50% through intelligent automation of the intake and triage pipeline.
  • Built on AWS Bedrock and Comprehend Medical for NLP-driven clinical data extraction and interpretation.
  • Serverless architecture using Lambda, API Gateway, and DynamoDB for high availability and minimal operational overhead.
  • Integrated SageMaker predictive models improving triage accuracy by 30%.
  • Designed in alignment with HIPAA architectural guidelines ensuring data security and compliance.
AWS Bedrock Lambda DynamoDB SageMaker API Gateway HIPAA
Project 02 / Desktop Application

Golden Hawk Student Management System

  • Java desktop application managing 100+ student records with full CRUD operations and data persistence.
  • Implemented a multi-layer architecture separating presentation, business logic, and data concerns for long-term maintainability.
  • Swing GUI with form validation, error handling, and a structured persistence layer for data reliability.
  • Codebase spans 10+ classes and 30+ methods designed to OOP standards.
🏆 Best Project — 16 teams, 50+ students
Java Swing GUI OOP Eclipse

Involvement

Google Developer Student Club
University of Waterloo
  • Participated in AI-focused workshops and cross-disciplinary hackathons.
  • Contributed to cloud development sessions covering GCP architecture and Firebase integration.
Golden Hawk OOP Build Challenge
Wilfrid Laurier University — 🏆 Best Project Award
  • Competed against 16 teams (50+ students) and received Best Project recognition.
  • Demonstrated applied software design, OOP principles, and system architecture under competitive conditions.

Technical Expertise

Programming
Python
Java
JavaScript
C / C++
SQL
HTML / CSS
Tools
AWS
Git / GitHub
VS Code
PyCharm
Eclipse
Jupyter Notebook

Let's
Connect

Open to work opportunities, collaborative projects, and conversations around AI systems and cloud engineering.

Resume

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