Engineering Leadership Meets Systems Thinking

My Skills & Leadership Framework

I work at the intersection of engineering leadership, quality at scale, system design, and product execution.

I don't just do QA. I lead teams, design systems, and ship products that people actually depend on.

This page is a snapshot of how I think and what I bring into an engineering organization.

At a Glance - What I'm Really Good At

Leading high-performing QA and engineering teams across time zones

Owning quality for large, complex middleware and API platforms

Designing automation and DevOps-integrated testing strategies

Thinking in systems, not just tickets or test cases

Building full products end-to-end (web, mobile, backend, infra)

Using AI to move faster without losing discipline

Communicating clearly with executives, architects, and developers

Managing risk, budgets, and production incidents with precision

Core Framework

Leadership Competency Wheel

My work is built around six core leadership competencies. Together, they explain how I operate and why I'm effective in complex environments.

Strategic Execution & Delivery

  • Enterprise QA strategy for 1,500+ APIs
  • Coordinating multi-LOB programs
  • Data-backed release decisions
  • Calm, focused high-stakes execution
  • Cross-team alignment and clarity

Systems Thinking & Technical Depth

  • Architecture-aware QA planning
  • Understanding distributed systems
  • Middleware + API orchestration expertise
  • Mapping dependencies and risk surfaces
  • Converting architecture into test flows

People Leadership & Team Elevation

  • Leading 22 engineers across Toronto & India
  • Mentoring seniors, coaching juniors
  • Building high-performance culture
  • Clarity of expectations and accountability
  • Improving cross-team collaboration

Innovation, Automation & DevOps

  • Automation architecture for API, UI, mobile
  • Quality gates inside CI/CD
  • DevOps-integrated testing
  • Process and tooling innovation
  • Driving efficiency without quality loss

Product Mindset & Execution

  • Full-stack execution (web, mobile, backend)
  • Tailwind & SwiftUI for modern UI
  • Backend + API + DB modeling
  • Building real products end-to-end
  • Shipping Booster, Feedback Box, Temple Store, Sphere 36

Communication & Stakeholder Influence

  • Executive-ready communication
  • Translating risk to business language
  • LOB & vendor alignment
  • Running meaningful rituals and reviews
  • Driving clarity and trust across teams

In Action

Deep Dive - How These Skills Show Up in My Work

Engineering Leadership & Org Impact

I build teams that move with purpose, not chaos.

  • Leading a global QA/QC function across multiple time zones
  • Setting standards for how testing, reporting, and risk are handled
  • Designing rituals, dashboards, and documentation that scale
  • Turning fragmented efforts into one cohesive quality strategy

Quality Engineering for Large Systems

My core craft is building reliable, predictable quality systems for complex platforms.

  • End-to-end QA ownership for CIBC's middleware layer
  • Test strategy for 1,500+ SOAP APIs across dozens of LOBs
  • Planning coverage around integrations, orchestration, and edge cases
  • Using data and patterns from previous incidents to shape future coverage

Automation Architecture & DevOps

I care less about "how many tests we automated" and more about whether teams trust the automation.

  • Architecting service-level automation that scales
  • Integrating automation into CI/CD so quality signals arrive early
  • Stabilizing flaky suites and designing tests that are maintainable
  • Using metrics (leakage, stability, coverage vs. risk) to guide improvements

Systems Thinking & Architecture Awareness

I always ask: How does this connect to the rest of the system?

  • Understanding how middleware connects channels to core systems
  • Seeing beyond individual tickets into flows, dependencies, and contracts
  • Finding issues at boundaries: between systems, teams, and assumptions
  • Designing test strategies that reflect how the system actually behaves in production

Product Execution & Problem Solving

Outside my day job, I've built full products end-to-end - not prototypes, but systems people depend on.

  • Booster (iOS & Android) - daily quotes, push notifications, likes, offline support
  • Feedback Box - full workflow: submission, comments, votes, approvals, roles, email notifications
  • Sphere 36 - white-labeled Mattermost for community collaboration
  • Temple Store - custom store with complex product variants
  • Events & Calendar System - multi-city events platform with secure admin + public views

AI-Accelerated Engineering

I'm very comfortable using AI as a serious engineering tool.

  • Using Cursor, ChatGPT, and Claude for architecture exploration, coding, and refactoring
  • Speeding up documentation, test design, and code review
  • Leaning on AI for boilerplate so I can focus on structure and quality
  • Building entire systems with AI as a collaborator, not as a gimmick
  • Operating at the pace most teams are still trying to reach

Where I Typically Move the Needle

When I step into a team or organization, these are the shifts that tend to happen:

Quality stops being reactive and becomes predictable

Automation stops being a burden and becomes trusted

Releases become calmer and more repeatable

Teams gain clarity on who owns what and how things will be tested

Leadership gets real, usable visibility into risk and progress

Internal tools and platforms become more polished and reliable

You'll Get the Most Value From Me If...

You're working on:

A complex platform with lots of APIs, dependencies, and moving parts

A team that needs stronger quality leadership and structure

Internal tools or products that deserve first-class engineering

A shift toward automation, DevOps, and AI-assisted development

A culture that wants to move faster without becoming reckless

Next Steps

If this resonates, explore these pages to learn more: