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AltiChi

Brandon T. Chihota. Brandon T. Chihota

Focus Area Technology & AI Solutions
Background
Enterprise SaaS, Technology & AI Delivery

Technology has always been more than a career for me, it is a genuine passion. I am drawn to innovative products and solutions that solve real problems, and that curiosity has driven over 5 years of delivering enterprise SaaS, AI, and cloud initiatives across regulated industries and higher education. Over 3 years as a Product and Project Management lead, I drove key enhancements and improvements across student portals, learning management systems, and student management systems, delivering measurable impact at institutional scale. I am currently completing a Cloud Computing program at Humber Polytechnic, where I have designed and deployed fault-tolerant AWS architectures, built cloud-native microservices platforms with automated CI/CD pipelines, and applied real-world DevOps practices across containerized workloads. I believe the best leaders never stop learning, and in an age of exponential technological development, I want to ride the wave that bridges cloud computing with AI to deliver impactful, meaningful technology services and products.

What makes me different is the range I bring. I am a practising visual artist, having developed visual portraits and worked with mixed media, which drives a creative eye that directly shapes the way I approach UI/UX and product design. I have stood on stage as Master of Ceremony for two consecutive convocation seasons at Global University Systems Canada, leading graduation ceremonies for hundreds of graduates and delivering presentations to thousands in attendance. Colleagues and clients describe me as welcoming, warm, and deeply collaborative, someone who brings both precision and positive energy to every room and every project, working and leading toward a shared vision.

Proven at Scale
Results, Teams & Delivery Track Record

The numbers tell part of the story. Multimillion-dollar SaaS implementations supporting critical oil and gas infrastructure across the United States, managing and leading multiple concurrent digital transformation projects and product and system enhancements across 7+ institutions, serving over 10,000+ users across U.S. and Canadian operations. 100% operational adoption achieved across every rollout, a 70% reduction in core workflow times, and a 90% deliverable acceptance rate through rigorous UAT and quality processes. These were not small projects, they were complex, multi-stakeholder initiatives with direct impact on thousands of end users.

Behind those results were teams of 10 to 20, including GIS specialists, integrity analysts, engineers, project coordinators, UI/UX designers, developers, and product owners, that I led simultaneously across multiple concurrent initiatives. I managed relationships all the way to VP and Executive Director level, translating technical complexity into clear decisions and confident delivery. Whether it was the organisation's first AI chatbot, a PHMSA-compliant pipeline risk platform, or a campus-wide student systems overhaul, I showed up with a plan and saw it through.

Now
Building Cloud-Native Expertise
AWS
Cloud Platform
Docker
Containers
K8s
Kubernetes
TF
Terraform
Py
Python
SQL
MySQL
PMP
Project Mgmt
SAFe
Agilist
CSM
Scrum Master
CSPO
Product Owner
HBA
Economics · York
UX
UI/UX · BrainStation
🎨
Visual Art
Cloud
In Progress ●
Open to Opportunities · Toronto, ON
10K+ Users Served
100% Adoption Rate
70% Faster Workflows
7+ Institutions Led
90% Acceptance Rate
10–20 Team Size
PMP CERTIFIED
AI SOLUTIONS
CLOUD INFRASTRUCTURE
UX / UI DESIGN
AUTOMATION
PUBLIC SPEAKER
HBA ECONOMICS
02

Where Strategy
Meets Execution.

Enterprise SaaS Delivery
Full SDLC ownership from requirements through UAT, production deployment, and post-launch optimization across multi-tenant platforms.
Cloud-Aligned Infrastructure
Hands-on with AWS, Docker, Kubernetes, Terraform, Linux & Python, bridging DevOps concepts with project delivery strategy.
Secure Integration Architecture
Configured SSO, MFA, IP whitelisting, and API integrations across regulated enterprise environments with strict security standards.
Agile & Hybrid Execution
Led sprint cycles, backlog refinement, and release coordination. Reduced delivery delays by 2 weeks through improved dependency planning.
Regulatory Compliance
Delivered within strict regulatory and contractual frameworks in oil & gas pipeline integrity and higher education environments.
Stakeholder & Vendor Governance
Executive-level reporting, milestone invoicing, budget controls, and vendor management across complex multi-stakeholder initiatives.
03

Delivered at Scale.

Oil & Gas
Pipeline Risk Modeling Platforms: Oil & Gas
ProblemMajor U.S. pipeline operators lacked a modern, cloud-hosted risk modeling platform capable of meeting PHMSA regulatory requirements across transmission, distribution, and storage assets at scale.
Directed multimillion-dollar SaaS implementations supporting probability-based risk modeling across transmission, distribution, and storage pipeline assets for major U.S. pipeline operators. Led cross-functional squads of 8 through requirements, UAT, and production deployment to ensure the safety, integrity, and maintenance of pipeline infrastructure in full compliance with PHMSA regulations, the federal framework governing U.S. hazardous liquid and gas pipeline operations.
⚡ Transmission High-pressure long-haul
🏠 Distribution Local delivery networks
🏭 Storage Strategic reserves
Risk
Modeling
AWS
Cloud Hosted
Reg
PHMSA
Jira
PM Tool
MVL
Mavenlink
AI First
First AI Chatbot Implementation: Student Portal
ProblemStudents and prospective applicants across 7+ institutions had no 24/7 self-service support channel, placing unsustainable load on staff and creating inconsistent information experiences across campuses.
Led the organization's first AI implementation from strategic inception through scaled multi-institution deployment. Coordinated directly with the Executive Director of Digital Transformation, the Executive Director of IT & Infrastructure, and the Vice President of Operations, Enterprise Systems & Digital Transformation to conduct a structured build vs. buy evaluation, proceeding with a third-party proof of concept before determining the path to scale. Managed the full implementation lifecycle including cross-departmental knowledge base development to train the LLM across student, faculty, and public inquiry domains. Established a dual monitoring framework pairing a dedicated accuracy review team with hallucination safeguards, and led go-live communications, staff training, and a continuous improvement roadmap to deliver a 24/7 high-availability solution scalable across all institutions.
AI
LLM
B/B
Build vs Buy
KB
Knowledge Base
QA
Dual Monitor
24/7
Availability
Security
Secure Portal & Authentication Enhancements
ProblemEnterprise portals lacked multi-layered authentication, and students had no way to pay fees directly within institutional platforms, creating both a security risk and a fragmented digital experience.
Implemented Multi-Factor Authentication (MFA) and Single Sign-On (SSO) across enterprise portals, and led the integration of a secure payment API with CIBC, one of Canada's largest Schedule I chartered banks, enabling students to transact directly within institutional platforms.
🔐 MFA & SSO Enterprise auth hardening
🏦 CIBC Payment API Secure banking integration
SSO
Auth / MFA
Fig
Figma
CIBC
Payments
Sec
Hardening
Integrations
LMS & Data Integration Programs
ProblemCanvas LMS operated in isolation from key institutional tools, leaving academic integrity, reporting, and student communications as manual, disconnected processes across a multi-institution environment.
Led a strategic vendor integration program on the Canvas LMS platform, used across hundreds of universities and colleges worldwide, coordinating directly with third-party vendors to deliver integrations aligned to institutional priorities and roadmap planning.
🎓 Canvas LMS Global platform context
🔗 Vendor Integrations Turnitin, Power BI, SMS
LMS
Canvas
TII
Turnitin
PBI
Power BI
Vnd
Vendors
Cloud — AWS
Fault-Tolerant AWS Admissions Architecture
ProblemA university application needed a production-grade cloud infrastructure capable of surviving component failures without downtime, with no existing AWS architecture in place to build from.
Designed and deployed a fault-tolerant AWS architecture for a university admissions web application across two Availability Zones. Deployed Amazon EC2 instances within private subnets behind an Application Load Balancer (ALB), with Auto Scaling validated to four instances under simulated peak traffic. Provisioned Amazon RDS with Multi-AZ synchronous replication for database high availability, and used NAT Gateways for secure outbound connectivity from private subnets.
AWS Project 1 Architecture — Multi-AZ VPC with ALB, EC2 Auto Scaling, and RDS replication
Architecture Diagram — Multi-AZ Fault-Tolerant Design Click to view full diagram
EC2
Compute
S3
Storage
RDS
Multi-AZ
ALB
Load Balancer
ASG
Auto Scaling
IAM
Identity
NAT
Gateway
C9
Cloud9
Cloud — DevOps
Cloud-Native Microservices & CI/CD Platform
ProblemA monolithic application needed to be decomposed into independently deployable services with automated delivery pipelines — applying real-world DevOps practices in a cloud-native environment.
Refactored a monolithic application into a cloud-native microservices architecture on AWS. Containerized services were deployed to Amazon ECS with Fargate using ARM64 Graviton for cost-optimized serverless compute. Implemented fully automated CI/CD pipelines via AWS CodePipeline and CodeDeploy with blue/green deployment strategy. Traffic routing handled by an Application Load Balancer with path-based routing to independent microservices, backed by Amazon RDS MySQL in private subnets. Estimated monthly cost of $87.49 USD.
AWS Project 2 Architecture — ECS Fargate microservices with CI/CD pipeline and ALB routing
Architecture Diagram — Microservices & CI/CD Pipeline Click to view full diagram
Dock
Docker
ECS
Fargate
ECR
Registry
CI/CD
Pipelines
B/G
Blue/Green
ALB
Load Balancer
RDS
MySQL
AWS
Platform
04

The Career Timeline.

Jan 2026– Present
ITS End-User Support Specialist
Humber Polytechnic · Toronto, ON
Current Cloud Computing IT Operations Jira · Agile
Jun 2025– Dec 2025
Technical PM: Software Implementation & Delivery
JANA Corporation · Toronto, ON
PHMSA Compliance Oil & Gas Pipeline Risk Modeling
Nov 2023– May 2025
Senior PM & Product Lead
Global University Systems Canada · Toronto, ON
First AI Implementation 10,000+ Users 7+ Institutions
Sep 2022– Oct 2023
PM & Product Owner: Enterprise Systems
Global University Systems Canada · Toronto, ON
90% Deploy Rate Jira · Figma LMS Integration
Dec 2021– Aug 2022
Project Coordinator: Enterprise Systems
Global University Systems Canada · Toronto, ON
Stakeholder Management Risk Mitigation 90% Acceptance Rate
Dec 2019– Nov 2021
Team Lead Administrative Services Officer
TVO ILC · Toronto, ON
1,000+ Students Ministry Compliance Team Leadership

Continuously
Levelling Up.

Expected 08/2026
Cloud Computing
Humber College · Toronto
06/2025
SAFe Agilist
Scaled Agile · Toronto
03/2025
Product Leader
BrainStation · Toronto
07/2024
PMP
PMI · Toronto
10/2023
CSPO
Scrum Alliance · Toronto
06/2023
CSM
Scrum Alliance · Toronto
08/2018
HBA Economics
York University · Toronto
06

Thoughts from
the Field.

Practical perspectives on cloud computing, SaaS delivery, and leading technology initiatives in regulated industries, drawn from real project experience.

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Let's Build Something.

AltiChi is the home base for Brandon's work in project management, product delivery, and cloud computing. Based in Toronto, open to remote and hybrid opportunities.

AI & Technology
Our Future with AI
Brandon T. Chihota · 4 min read

We are living in a time where technological advancements have accelerated rapidly over the past decade, and artificial intelligence is one of the clearest examples of that shift.

I remember when my mom used a Nokia brick phone, playing Snake. Then came the Motorola Razr flip phone, which I saw as a Power Ranger morphing device. As I grew up, I witnessed the evolution of technology, from dial up internet through landlines to seamless wireless connections that now allow us to stream content anywhere. Whether on a train, a bus, or on the way to work, people are more connected than ever.

As technology has advanced across industries, artificial intelligence has disrupted the landscape in a way that feels different. Whether in the news or on podcasts, there is a growing narrative filled with fear, often pointing to a future that seems uncertain or even bleak.

Caution is necessary. We need to ensure the right guardrails are in place, especially with emerging technologies that can impact our communities and society at large. However, much of the conversation leans heavily toward worst case scenarios, suggesting that AI could fundamentally break or replace our reality.

There is truth in the concern. AI will replace certain roles, particularly those built on repetitive tasks. At the same time, AI is also a powerful tool, capable of generating information, supporting research, analyzing data, and enhancing productivity. It is not just a replacement mechanism, but a support system that can extend human capability.

When we look at history, this pattern is not new. Every major technological advancement, from infrastructure and transportation to communication systems, introduced uncertainty. People questioned what these changes would mean for their future. Today, we benefit from those same innovations in ways that feel normal and essential.

Artificial intelligence is part of that same progression.

While it is important to approach AI with responsibility and caution, it is equally important to recognize its potential. AI can drive innovation across key sectors such as healthcare, education, and business. It can enable new ways of solving complex problems and open doors to opportunities that were previously out of reach.

If we focus on responsible development, ethical use, and positive impact, the potential outcomes are significant.

It is also important to take a broader perspective. AI is not just another technological trend, it is part of a larger pattern of evolution. Over millions of years, change has been constant, shaping life, society, and the systems we depend on. The shifts we are experiencing today are part of that ongoing process.

The question is not simply what AI will become, but how we choose to engage with it. With awareness, with curiosity, and with intention.

At the same time, we must not lose sight of what makes us human. We are not just systems of data or programmed logic. We are conscious beings, connected to a larger existence that extends beyond technology and even beyond our planet.

That perspective matters.

As we continue to develop and integrate artificial intelligence into our world, we carry the responsibility to guide it with purpose. The goal is not only to build more advanced systems, but to shape a future that reflects human values.

To innovate with care, to advance with compassion, and to ensure that as technology evolves, it enhances life rather than diminishes it.

Architecture diagram