Neil Mitchell / Career portfolio

Neil Mitchell. Complex work.Clear direction.

Project Manager II, Applied AI/ML Engineering

I connect business context, technical teams, and the decisions that move applied AI/ML work forward.

Explore my experience View résumé

Or see what I build

Portrait of Neil Mitchell — **Neil Mitchell**People. Perspective. Progress.

The person behind the work

A wider
perspective.

Good delivery starts with understanding the people, the problem, and the path between them.

My career at TD has moved through claims, vendor operations, digital servicing, product and regulatory work, and now applied AI/ML engineering. Each chapter has added a practical view of how customer needs, operations, data, technology, and implementation decisions connect.

Today, I create structure around complicated engineering work. That means keeping priorities visible, clarifying ownership, coordinating dependencies, surfacing risk, and helping technical and business partners make the decisions that move work forward.

Years at TD: 7+
Career roles: 5
TDI All Star: 2022

Career progression

Five roles. One connected story.

From the first customer conversation to the work behind a production release. Each chapter at TD informs how I lead today.

Current chapter
2026
July 2026 to Present
Saint John, New Brunswick
Full-time
Applied AI/ML Engineering
Project Manager II
Applied AI/ML Engineering
AI2, TD Bank GroupSupporting TD Insurance
Leading the planning and execution of applied AI and machine-learning engineering work that supports TD Insurance. I coordinate priorities, risks, dependencies, technical work, and partner decisions so capabilities can move from definition through implementation and production readiness.
- Lead planning and execution for applied AI/ML engineering work supporting TD Insurance.
- Coordinate priorities, dependencies, risks, decisions, and milestones across engineering and business workstreams.
- Manage work through a Kanban model, maintaining clear ownership and visibility across active priorities.
- Partner with engineers, senior leaders, product partners, data specialists, and business teams to turn objectives into actionable plans.
- Support implementation, integration, testing, validation, production readiness, monitoring, and operational handoff.
- Applied AI/ML
- ML Engineering Delivery
- Project Management
- Kanban
- Risk Management
- Production Readiness
2025 2026August 2025 to July 2026Product and RegulatorySenior Product AnalystStrategic Product & Regulatory KnowledgeShaped high-level requirements and feature definitions for Guidewire PolicyCenter work within the SPARK programme. Coordinated scope, sequencing, acceptance criteria, and readiness across multiple teams while helping partners make clear trade-offs.Role details
GIJ, TD Insurance
Saint John, New Brunswick · Full-time
- Defined product intent and high-level requirements for AI RSP and DASH capabilities.
- Clarified scope, sequencing, acceptance criteria, and ownership across several workstreams.
- Partnered with business analysts and platform teams to prepare implementation-ready stories.
- Coordinated product, technology, and data decisions while surfacing risks early.
- Contributed to roadmap planning and readiness for core platform capabilities.
- Guidewire PolicyCenter
- Feature Definition
- Acceptance Criteria
- Scope Management
- Delivery Readiness
2024 2025February 2024 to August 2025Digital ServicesSenior Product AnalystDigital Service PerformanceLed feature definition and backlog preparation for customer-servicing journeys in MyInsurance. Brought business, technology, and operations partners together around sequencing, readiness, and practical decisions.Role details
GIJ, TD Insurance
Saint John, New Brunswick · Full-time
- Owned high-level requirements and feature definitions for MyInsurance servicing journeys.
- Led backlog refinement and story shaping with business analysts.
- Coordinated work across teams and prepared enhancements for release.
- Managed sequencing and risk with technology and operations partners.
- Built deep knowledge of digital insurance servicing and customer workflows.
- MyInsurance
- Digital Servicing
- Backlog Refinement
- Cross-team Coordination
- Release Readiness
2020 2024April 2020 to February 2024Vendor OperationsVendor Analyst IIVendor Management OfficeManaged a quarterly accounts payable process covering more than 80,000 invoices and over $55 million in overdue bills owed to the vendor network. Built VBA automation for aggregation and reconciliation, improving the flow and accuracy of operational work.Role details
CFLVS, TD Insurance
Saint John, New Brunswick · Full-time
- Managed enterprise accounts payable work to settle overdue vendor bills on a quarterly cadence.
- Built VBA automation for data aggregation and reconciliation.
- Improved cycle time, accuracy, and visibility across vendor operations.
- Led weekly progress reviews with partners across several business lines.
- Received TDI All Star recognition in 2022.
- Vendor Management
- VBA Automation
- Accounts Payable
- Data Reconciliation
- Operational Reporting
2019 2020April 2019 to April 2020ClaimsClaims AdvisorClaims Response OfficeHandled first notice of loss and accident-benefits calls, opened exposures, and prepared claims for adjuster contact. This role established a practical understanding of insurance operations, customer needs, and the quality of a clear handoff.Role details
CFLVS, TD Insurance
Saint John, New Brunswick · Full-time
- Handled inbound first notice of loss and outbound accident-benefits calls.
- Opened exposures and prepared claims for initial adjuster contact.
- Learned claims intake, accident-benefits processes, and operational workflows.
- Claims
- First Notice of Loss
- Accident Benefits
- Guidewire ClaimCenter
- Operational Handoff

Selected independent work

The thinking.
The work to back it up.

Outside my professional role, I build. These projects make my approach visible, from technical decisions to release readiness and responsible delivery.

Independent open-source case study

Deep Live Cam Studio

A Windows desktop release, validation, and governance case study for local AI-assisted media workflows.

authored post-fork commits: 158
merged pull requests: 20
automated tests: 510

Evidence snapshot: August 3, 2026

Python
PySide6
ONNX Runtime
CUDA
DirectML
OBS

Read case study

Independent projects. Documented decisions. Practical delivery.

Explore all work

How I work

From complexity to clarity.

A clear objective. The right people. Decisions that move the work forward. This is how I connect business intent with delivery readiness.

Intent to implementation

Six connected steps

Business Objective
Start with the outcome, the people it serves, and the decision to be made.
Clarify Scope
Turn broad intent into boundaries, ownership, and a practical next step.
Coordinate Teams
Connect engineering and business work without losing the context between them.
Manage Risk and Dependencies
Make blockers, trade-offs, and required decisions visible early.
Validate Readiness
Confirm testing, integration, monitoring, and handoff expectations.
Support Delivery
Keep progress visible through implementation and operational transition.

The constants

What I bring to every project.

Create clarity
Turn broad objectives into practical plans, clear ownership, and visible next steps.
Maintain flow
Track priorities, blockers, dependencies, and decisions across the Kanban system.
Connect context
Help technical and business partners understand the constraints shaping each other’s work.
Surface risk early
Bring emerging issues forward while there is still time to make a useful decision.
Communicate precisely
Give each audience the detail it needs, with a clear signal on decisions and next steps.

Expertise

Leadership, with technical depth.

Delivery is my core practice. Insurance experience and hands-on technical work give me the context to ask better questions and connect the right people.

Core delivery strength

Applied AI/ML Delivery

Creating the structure that helps engineering work move from definition toward reliable implementation.

Applied AI/ML Engineering Delivery
Model Implementation Coordination
Technical Planning
Production Readiness
Validation Coordination
Risk and Dependency Management
LLM and Agent Workflows
Prompt and Tool Design
AI-assisted Development

Core delivery strength

Project and Delivery Leadership

Keeping ownership, decisions, priorities, and progress clear across technical and business teams.

Project Management
Kanban
Prioritisation
Roadmap Planning
Milestone Planning
Cross-functional Coordination
Executive Communication

Platform experience

Insurance and Platform Experience

A practical view of insurance operations and the platforms that support customer and employee journeys.

TD Insurance
Digital Insurance Servicing
Guidewire PolicyCenter
Guidewire ClaimCenter
Guidewire BillingCenter
Claims Operations
Vendor Management
Product and Regulatory Work

Hands-on technical practice

Development and Technical Tools

Building and testing practical software, automation, and AI workflows across web, mobile, data, and local tools.

Python
TypeScript and JavaScript
Next.js and React
FastAPI and API Integration
Kotlin and Jetpack Compose
GitHub Actions
Vercel and Docker
SQL and Data
VBA Automation

Work with measurable scope

A track record that adds up.

Selected measures and career highlights from work across TD Insurance and TD Bank Group.

Invoices processed: 80,000+; Quarterly accounts payable cycle managed in vendor operations.
Quarterly AP activity: $55MM+; Accounts payable work settling overdue bills owed to the vendor network.
Years at TD: 7+; Progression through claims, operations, digital, product, and AI/ML work.
Product initiatives delivered: 11; Led initiatives from discovery through delivery across Digital Service Performance and SPARK.

Now

Applied AI/ML engineering delivery

Coordinating planning, dependencies, implementation, validation, and production-readiness work for initiatives supporting TD Insurance.

Practical plans across technical and business workstreams
Visible risks, decisions, dependencies, and milestones
Clear reporting supported by AI-assisted workflows

Built

Operational automation

Designed VBA workflows for large-scale aggregation and reconciliation, improving the consistency and flow of vendor operations.

More than 80,000 invoices in a quarterly cycle
Accounts payable activity valued at more than $55 million
Stronger visibility and fewer manual reconciliation steps

2022

TDI All Star recognition

Recognised for contributions across vendor operations, including dependable execution, useful reporting, and trusted working relationships.

Operational ownership
Cross-business communication
Practical process improvement

Good work starts with a conversation

Let’s connect.

I am open to thoughtful conversations about applied AI/ML delivery, insurance technology, project leadership, and practical uses of AI in engineering workflows.

Open to professional conversations and knowledge sharing.

This is a personal portfolio and does not represent an official TD Bank Group or TD Insurance website.

Neil Mitchell. Complex work.Clear direction.

A widerperspective.

Project Manager II

Deep Live Cam Studio

Intent to implementation

Business Objective

Clarify Scope

Coordinate Teams

Manage Risk and Dependencies

Validate Readiness

Support Delivery

What I bring to every project.

Create clarity

Maintain flow

Connect context

Surface risk early

Communicate precisely