PATRICK HAYWARD
@patrickhayward
Senior Software Engineer | 12+ yrs building AI-powered, cloud-native, full-stack solutions in healthcare, finance & enterprise domains.
What I'm looking for
12+ years building scalable, AI-powered platforms and cloud-native solutions across healthcare, finance, and enterprise domains. Skilled in full-stack development (Next.js, React, TypeScript, Node.js, Python, FastAPI, Angular, C#, .NET Core, Golang, Ruby on Rails, Vue.js) and databases (SQL/NoSQL). Experienced in developing FHIR-compliant patient dashboards, telehealth platforms, GPT-based AI frameworks, and context-aware clinical insights from unstructured EHR data.
Proficient in AI/ML frameworks (PyTorch, TensorFlow, Hugging Face, LangChain, LangGraph), fine-tuning large language models, and integrating AI into production. Strong background in cloud infrastructure (AWS, Azure, GCP), CI/CD automation (Docker, Kubernetes, Terraform, Jenkins, GitHub Actions), and delivering high-performance web and mobile applications. Known for mentoring teams, driving cross-functional collaboration, and translating complex technical solutions into production-ready, business-aligned results.
Experience
Work history, roles, and key accomplishments
Senior Software Engineer
Geviti, Inc
Mar 2021 - Sep 2025 (4 years 6 months)
Architected and delivered AI-powered, FHIR-compliant patient dashboards and telehealth features, built RAG frameworks and fine-tuned LLMs to surface context-aware clinical insights from unstructured EHR data, improving clinical decision support and interoperability.
Architected and developed highly scalable backend microservices in Java and Golang and responsive frontends in Angular/React, improved system performance and automated CI/CD on GCP to support globally distributed, reliable services.
Senior Technology Consultant
Alvarez & Marsal
Dec 2015 - Apr 2018 (2 years 4 months)
Developed scalable web applications and backend systems using Ruby on Rails and Go, delivered high-performance dashboards and optimized data pipelines that increased operational efficiency and ROI for financial and healthcare clients.
Contributed to Azure-based enterprise solutions, built real-time telemetry and scalable microservices using C#, .NET Core, and Azure services, and optimized front-end components to improve portal performance and monitoring reliability.
Education
Degrees, certifications, and relevant coursework
University of Toronto
Master's degree in Computer Science, Computer Science
2011 - 2013
Completed a Master's degree in Computer Science with coursework and projects focused on software engineering and AI between 2011 and 2013.
University of Toronto
Bachelor's degree in Computer Science, Computer Science
2007 - 2011
Completed a Bachelor's degree in Computer Science with foundational studies in programming, algorithms, and systems from 2007 to 2011.
Tech stack
Software and tools used professionally
D3.js
Chart.js
Google Cloud Platform
GitHub
Kubernetes
Jenkins
CircleCI
GitHub Actions
Dataiku
DB
MySQL
PostgreSQL
MongoDB
Cassandra
CouchDB
IndexedDB
CockroachDB
Node.js
Django
.NET Core
Ruby on Rails
Next.js
.NET
ASP.NET Core
Material-UI
Web Components
three.js
Neo4j
Redis
Terraform
Azure DevOps
Babel
Vue.js
Svelte
Webpack
JavaScript
Java
ES6
Kotlin
ASP.NET
Blazor
TensorFlow
PyTorch
scikit-learn
Keras
FastAPI
Istio
GraphQL
Firebase
SignalR
Ansible
Serverless
Azure Functions
Chakra UI
WebRTC
NGINX
Time Analytics
SQL
Hugging Face
Supabase
LangChain
Pinecone
Gremlin
Vite
Cosmos
Availability
Location
Authorized to work in
Job categories
Skills
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