Bansari Shah
Software Engineer @ Microsoft
About
Hi! I'm Bansari, a math and computer science student passionate about leveraging technology to solve real-world problems. I’m eager to grow in areas like software engineering, AI, and security while driving impactful innovations.
Canada
Waterloo
Computer & Network Security
Azure AI Studio, Generative AI, Software Design Patterns, Software Architecture, Microservices, Docker, Amazon Web Services (AWS), Maple, Machine Learning, Staff Orientation, Onboarding, First Year Experience, Public Outreach, Strategy, Project Planning, Event Planning, Microsoft Excel, Negotiation, Time Management, Research Skills
Experience
Software Engineer
Microsoft
Redmond, Washington, United States
Incoming Summer 2026
Full Stack Engineer
CGI
Toronto, ON
Delivered a full-stack microservices observability platform (Angular, Spring Boot, Redis) and integrated a Python-based Gemini 2.0 AI agent enabling real-time querying and dynamic health/data insights.
Data & Analytics Architecture Intern - Global Data Team
Manulife
Toronto, Ontario, Canada
Built and optimized cloud infrastructure and data pipelines for GenAI applications using Python, SQL, Azure Data Factory, and Databricks.
DevOps Engineer
Pillar To Post Home Inspectors
Tampa, Florida, United States
Deployed updates for the company’s homepage and customer portal using Azure DevOps pipelines, improving release consistency and reliability. Contributed to cloud infrastructure workflows and gained exposure to Docker in production environments.
Outreach/ Internals Coordinator
Waterloo Data Science Club
University of Waterloo
Secured over $5K in sponsorships from companies like EY and FluidAI and coordinated logistics for the CxC hackathon with 340+ participants. Organized events and built corporate partnerships to strengthen student engagement and industry collaboration.
Software Engineer
CGI
Toronto, Ontario, Canada
Built responsive UIs for Bell’s Single Click platform using React.js and Node.js. Integrated REST APIs with MySQL/Python to improve data organization. Optimized UI performance, reducing load times across hundreds of stores.
Directed Reading Program - Women in Mathematics
UWaterloo Women in Math (WiM)
Investigated mutation genes linked to brain tumors and developed predictive models using Logistic Regression, KNN, and Decision Trees. Enhanced data preprocessing and applied classification metrics to improve research accuracy and data-driven insights.
Director of Mathematics
STEM Club
Castlebrooke Secondary School
Grade 11/ 12 STEM Instructor
Castlebrooke Secondary School
Education
University of Waterloo
Honours Mathematics, minor Computer Science
Bansari Shah's Contact Information
Phone
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