Mason T

AI product engineer with 8+ years of experience building production AI systems, SaaS platforms, and developer tools. Specialized in LLMs, AI agents, MCP tooling, document intelligence, and cloud-native architectures, with experience taking products from zero to production using OpenAI, Claude, Gemini, AWS, and modern full-stack technologies.

Full-Stack AI Engineer - Domingo - Markham, ON, Canada | Hybrid

(2021-05 - 2026-03)

• Built an AI-powered document intelligence platform for immigration and visa workflows, reducing document processing time from 2–3 days to approximately 15 minutes.
• Developed multimodal pipelines using OCR, computer vision, and LLMs to extract, validate, and normalize more than 400 structured fields from PDFs and scanned documents.
• Achieved 98% extraction accuracy and reduced manual data entry by 95% through field validation, confidence checks, structured outputs, and automated data normalization.
• Created a human-in-the-loop review system that allowed Regulated Canadian Immigration Consultants to verify AI-generated results, resolve extraction conflicts, and complete missing information before submission.
• Automated XFA PDF forms and web-based immigration submissions using Claude, MCP, and computer-use agents, reducing repetitive form-entry work.
• Implemented distributed background processing with Celery, AWS ECS, and Amazon SQS, supporting 40 concurrent client workflows with asynchronous execution, retries, and fault handling.
• Built backend APIs and services for document processing, authentication, tenant management, workflow orchestration, and role-based access.
• Developed the platform’s multi-tenant architecture, keeping customer data and workflows isolated within a shared SaaS environment.
• Managed AWS ECS capacity, service scaling, deployments, and production workloads to maintain application reliability under changing demand.
• Worked across product, engineering, and immigration-domain requirements to move the platform from early development into production use.

AI Platform Research Engineer Intern - Emergent Solutions - Miami Beach, FL, United States | Remote

(2024-09 - 2026-05)

• Built a distributed AI execution layer using Cloudflare Workers AI for multi-model inference, chunked processing, and parallel task execution.
• Reduced large reasoning and content-generation workflows from hours to minutes by dividing workloads into smaller tasks and processing them concurrently.
• Extended graph-based knowledge systems that organized code, documentation, research materials, repositories, tools, and workflows into queryable structures.
• Enabled AI agents and local applications to access shared technical knowledge across development environments and Obsidian-style workflows.
• Developed a capability graph abstraction, called qslice, that mapped tools, SaaS products, repositories, APIs, and workflows into a unified data model.
• Built early versions of SolutionHub, a platform that converted user requests into structured workflows and executable tool pipelines.
• Added methods for identifying missing capabilities and recurring user needs from workflow queries and usage patterns.
• Prototyped a modular platform model covering solution discovery, workflow composition, human review, agent tasks, and API access.
• Supported integrations with n8n, Langflow, and AI coding agents by exposing reusable capabilities as modular workflow nodes.

Full-Stack Software Engineer - House of Yards App - Phoenix, AZ, United States | Remote

(2020-11 - 2023-04)

• Built and maintained a multi-tenant SaaS platform for landscaping businesses in the United States.
• Developed features for client management, job scheduling, contractor coordination, task tracking, and business workflow automation.
• Implemented a subdomain-based tenant architecture that provided each customer with an isolated, branded environment while using a shared backend.
• Developed REST APIs with Django and frontend workflows with Svelte for scheduling, operations management, and multi-role collaboration.
• Integrated Stripe Connect destination charges to automate customer billing, platform revenue distribution, and multi-party payouts.
• Built authentication, authorization, tenant-management, and business-operations features across the backend and frontend.
• Managed AWS ECS infrastructure, GitHub Actions pipelines, application deployments, and production configuration.
• Investigated production issues and supported application stability, horizontal scaling, and release reliability.
• Worked with product and business stakeholders to translate operational requirements into customer-facing software features.

Enterprise Technical Support Intern - Huawei Cloud APAC - China | On-site

(2020-02 - 2020-11)

• Supported enterprise customers across the APAC region with cloud infrastructure, networking, deployment, and platform issues.
• Investigated production incidents by reviewing system logs, service configurations, network behavior, and deployment records.
• Worked with engineering, solution architecture, and support teams to identify root causes and coordinate issue resolution.
• Assisted with cloud implementation and troubleshooting activities for enterprise digital-transformation projects.
• Maintained technical documentation, operational runbooks, deployment records, and troubleshooting notes.
• Shared recurring technical issues with internal teams to improve support processes and knowledge reuse.

Game Integrator - The Versus Corp - China | On-site

(2018-08 - 2020-01)

• Coordinated game feature integrations across engineering, product, and QA teams, helping align technical requirements, dependencies, and release schedules.
• Supported functional and integration testing, documented issues, and worked with development teams to resolve problems before release.
• Assisted with release verification and production-readiness checks to confirm that integrated features met product requirements.
• Maintained integration instructions, implementation records, known-issue documentation, and release notes.
• Communicated progress and technical issues across teams to support timely product delivery.

Bachelor of Science (B.S.) - Computer Programming - Niagara College (2015-01 - 2018-04)