

- Location
- Mississauga, Ontario, Canada
- Bio
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I am a fourth-year Computer Science (Cloud Computing) student at Sheridan College with hands-on experience in AWS, DevOps automation, and cloud infrastructure projects. Through my cloud engineering internship and project work, I’ve deployed Docker-based workloads, CI/CD pipelines, and serverless applications while automating infrastructure using Terraform.
Recently, I contributed to Learning Mode AI (Riipen Project), where I enhanced production logging with AWS CloudWatch, simulated multi-service workloads in Docker, and explored infrastructure-as-code solutions to streamline deployments. I also completed a frontend internship at Prabbis Consulting (Riipen Project), building responsive pages with Next.js, Tailwind, and TypeScript.
My projects include BlockchainCore (a real-time blockchain analytics pipeline on AWS), a Kubernetes homelab on Raspberry Pi, and Greenalytics (a sustainability dashboard deployed on AWS with CI/CD automation).
As I approach graduation, I’m eager to bring my cloud engineering and DevOps skills to real-world projects, collaborate with teams, and deliver reliable, scalable solutions.
Be sure to checkout my portfolio: https://umarzaman.ca/
- Portals
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Calgary, Alberta, Canada
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Toronto, Ontario, Canada
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- Categories
- Cloud technologies Machine learning Networking Security (cybersecurity and IT security) Software development
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Achievements



Recent projects

User Management Service Development Lead
The goal of this project is to develop user management services for Project: Human City. This includes creating a reputation system, user profiles, notification system, and content moderation. The services should be integrated into Co-quest, Lotus Learning, and Spotstich web apps.

Backend Systems Lead
The goal of this project is to maintain a project task board for Reputation system, User profiles, Notification System and Content moderation. Additionally, the project will involve developing the above listed services, integrating them into Co-quest, Lotus Learning and Spotstich web apps, developing a database for the services, developing an API for the services, developing logic/ algorithms for API interactions and database use, developing permissions systems based off of the services, and creating a security system for user content including content reporting and content moderation process.

LLM Integration Security and Content Integrity Testing
The main goal of the project is to conduct rigorous testing of Voiceflip's LLM (Language Model) integration, with a focus on security and content integrity. The intern will work closely with the technical team to identify any vulnerabilities in the LLM's responses and ensure that it consistently generates accurate and appropriate content in real-time interactions.

Infrastructure Systems Dev Ops CI/CD Role
The main goal for the project is to implement and manage the infrastructure systems for Savi Finance's Personal Finance Planning SaaS Web Application and companion Mobile App. This includes setting up and maintaining the development operations (Dev Ops) and continuous integration/continuous deployment (CI/CD) processes to ensure efficient and reliable software delivery.
Work experience
Cloud Engineer Intern
Learning Mode AI
Toronto, Ontario, Canada
January 2025 - August 2025
Enhanced production logging on AWS CloudWatch, improving traceability and reducing troubleshooting time. Built Docker-based environments to simulate multi-service production workloads for testing. Explored Infrastructure as Code with Terraform and AWS CDK to standardize and streamline deployments. Collaborated on a proof-of-concept comparing Sentry vs AWS-native logging within CI/CD workflows.
Education
Bachelor of Science (B.S.), Computer Science (Cloud Computing)
Sheridan College Institute of Technology and Advanced Learning
September 2022 - May 2026
Personal projects
BlockchainCore – Real-Time Blockchain Analytics Pipeline
https://github.com/umar11bDesigned and deployed a real-time blockchain data pipeline on AWS that ingested live cryptocurrency trades from Binance WebSocket into SQS and Lambda. Implemented data storage in S3 and DynamoDB, and enabled analytics via Glue and Athena. Added anomaly detection for price movements and alerts through EventBridge and SNS. Infrastructure was provisioned with Terraform and automated deployments with GitHub Actions CI/CD, while optimizing costs by migrating from Kinesis to SQS
Raspberry Pi Kubernetes Homelab
https://umarzaman.caBuilt a production-grade Kubernetes cluster on Raspberry Pi 5 using K3s, Helm, and Kustomize overlays. Designed a multi-tier architecture with separation of concerns (monitoring, apps, ingress). Deployed Prometheus + Grafana with custom dashboards, alerts, and Minecraft server metrics (player count, TPS, performance), achieving a 16% memory optimization (85% to 69%). Implemented Horizontal Pod Autoscaler with multi-metric scaling (CPU, memory, custom metrics), plus advanced security (RBAC, network policies, container hardening, SSH sandboxing). Automated deployments and backups with Makefiles, CronJobs, and custom scripts, and created virtualization labs with 3-tier LAMP stack on VMs-in-containers. Demonstrates enterprise-level DevOps, monitoring, scaling, and automation in a personal homelab.