Azam Jawad Butt

University of Western Ontario

Relevant Coursework: Data Structures & Algorithms, Artificial Intelligence, Discrete Structures for Computing, Databases, Theory of Computation, Analysis of Algorithms

Hatch

Leveraged a newly published .NET SDK using C# to build a REST API for communicating with Microsoft Fabric in order to send custom SQL queries and retrieve vital information from an Azure data lakehouse

Worked with Angular, ASP.NET, and Apache Kafka to optimize an internal data import tool by enabling users to update engineering project records through Excel files, increasing data intake efficiency by ∼ 40%

Configured CI/CD pipelines on Azure DevOps to automate builds, streamline testing, and ensure seamless API deployment

Communications Security Establishment, Government of Canada

Used React and Spring Boot to build a full-stack software tool for organizations to identify and report cyber attacks, significantly improving application speed and enhancing scalability to handle a ∼ 50% increase in users

Leveraged advanced SQL techniques in constructing database schemas with Microsoft SQL Server for internal CRM software, developing RESTful endpoints to efficiently store and retrieve data records as needed

Collaborating in an Agile environment, participating in daily stand-ups, sprint planning, and retrospective meetings using tools like Jira, Git, and Confluence to maximize productivity

Digital Epidemiology and Population Health Lab, Western University

Worked with researchers and physicians using Flutter to build and launch an evidence-based digital health platform called ‘SwitchWell’ to reduce stigma around therapy while addressing critical mental health adversities among youth

Used Flutter, PHP, and Node.js to develop a progressive web application (PWA) for data collection and monitoring of transmissible diseases in local communities, integrating a cloud-based architecture with AWS EC2 and Firebase

Conducted research on advanced machine learning technologies for stakeholders, focusing on the integration of Large Language Models within digital health platforms to enhance predictive analytics and personalization

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Led the design and implementation of backend functionality for a custom scheduling application, using SQL to construct interconnected database schemas storing information for ∼ 900 users on an AWS EC2 server

Developed a REST API with Express.js, Node.js, and Postman, constructing an array of secure endpoints to drive seamless data retrieval processes and achieve a ∼ 40% increase in application performance and speed

Successfully integrated OpenAI’s API to analyze and interpret text extracted from PDF’s using the Tesseract OCR engine

Develop for Good

Developing an application for hunger-relief nonprofit ‘Eayikes’ to automate their scheduling system and optimize delivery routes, saving 30 work hours a week in the process of distributing ∼ 70k meals annually across Southern California

Working with engineers and product managers to design and build a solution for our nonprofit client using Flutter, Figma, and Node.js, meeting regularly with stakeholders to gather feedback and iteratively refine the product based on user needs

Western University Housing

Helping first year students transition into university life by providing support and advice with social, academic, and other related topics, effectively acting as their ‘first friend on campus’

Representing Western University as a positive role model and active member of the community, providing resources and guidance while using quick thinking to resolve conflicts

Exercise is Medicine, Western University

Led a team of directors in the development and application of financial strategies, delegating tasks to ensure optimal resource allocation in alignment with the clubs goals

Harnessed innovation and creativity in financial management to lower expenses by 30% and grow contingency funds

Conducted financial reviews, maintained a ledger of transactions, and prepared reports to highlight key metrics

Western AI (Western Artificial Intelligence)

Worked alongside peers to design, build, and deploy an AI-powered revenue prediction model, presented at the Canadian Undergraduate Conference on AI

Using Pandas, NumPy, and TensorFlow to construct a machine learning model that analyses industry trends and company metrics predicting future revenue for the next 10 years