Hi, I'm Guransh Singh
Computer Science Specialist at the University of Toronto. I build backend & cloud-native systems and full-stack applications using Python, TypeScript, AWS, and Terraform.
About Me
I'm Guransh Singh, a Computer Science Specialist at the University of Toronto with practical experience building cloud-native systems, backend services, and full-stack applications. I am aiming to specialize in databases, distributed systems, and cloud computing.
Full-Stack Development
Building scalable web applications with modern technologies and best practices.
Data Engineering
Creating data intensive applications with cloud
Distributed Systems
Optimizing applications for speed, reliability and scalability.
Technologies I Work With
Featured Projects
A showcase of my recent work, demonstrating various technologies and problem-solving approaches.

A full-stack platform for NGO to organize events and plan community gatherings.

AWS hackathon winner, A full stack AWS based application targeted to student to get personalized suggestions and platform to register.

A real world law ticketing system, for ticket management and analytic dashboards.
Experience
Mackenzie Investments
Scheduled to work with Python, Django, Pandas, Numpy, Scipy, Quantpy, SQL
CGI - BMO
TypeScript, AWS Lambda
- Delivered over 20+ pull requests
- Prototyped an agentic AI system using LangChain and LangGraph
- Developed and maintained backend services using TypeScript on AWS Lambda.
Sikh Sparks (Volunteer)
Java Spring Boot, Azure, Terraform
- Implemented Google OAuth via Keycloak
- Dockerized microservices for scalable deployments
- Developed scalable REST APIs and managed cloud infra on Azure using Terraform.
Alfina Technology (Part-Time)
Next.js, React, TypeScript, Python/Polars, OAuth, Firebase
- Built Python/Polars backend to compute HHI for market concentration (75% improvement)
- Implemented OAuth + Firebase session persistence via HTTP-only cookies
- Led a team to design and build a web & mobile app using Next.js, React, and TypeScript.
CGI - CIBC
Node.js, Prometheus, Grafana
- Created Python POC simulator to automate test data (40% test speedup)
- Contributed 25+ PRs
- Contributed to Node.js microservices and built a monitoring tool with Prometheus/Grafana.
CGI - CIBC
Python, data processing pipelines
- Designed an ID management system to optimize script workflows
- Collaborated on audit prep ensuring 100% compliance
- Devised and implemented large-scale data processing pipelines in Python, reducing analysis time by over 99%.
Education
University of Toronto
3x Dean's List Scholar
Get In Touch
Have a project in mind or want to collaborate? I'd love to hear from you.