Patrick Hayward
@patrickhayward1
Senior Software Engineer building AI-driven, cloud-native platforms and scalable microservices.
What I'm looking for
I am a Senior Software Engineer with 12+ years building AI-powered platforms, scalable microservices, and cloud-native solutions across healthcare, financial, and enterprise domains.
I have led development of FHIR-compliant patient dashboards, telehealth platforms with WebRTC, and GPT-based retrieval-augmented generation frameworks that surface context-aware clinical insights from unstructured EHR data.
My technical breadth spans full-stack development (Next.js, React, TypeScript, Node.js, Python, FastAPI, Angular, C#, .NET Core, Golang, Ruby on Rails, Vue.js), AI/ML frameworks (PyTorch, Transformers, Hugging Face, TensorFlow, LangChain, LangGraph), and cloud/CI-CD tooling on AWS, Azure, and GCP.
I am known for mentoring, cross-functional collaboration, and translating technical innovation into production-ready solutions aligned with agile goals, delivering reliable, secure, and compliant systems in regulated environments.
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 discovery platforms, implementing RAG frameworks and fine-tuned LLMs to improve clinical decision-making and information retrieval efficiency.
Architected and developed highly scalable backend microservices and responsive frontend applications, improving system performance and streamlining CI/CD on GCP for globally distributed systems.
Senior Software Engineer
Alvarez & Marsal
Dec 2015 - Apr 2018 (2 years 4 months)
Developed scalable web applications and optimized backend systems in Ruby on Rails and Go, delivering high-performance dashboards and achieving measurable operational improvements and ROI for clients.
Promoted from intern to full-time engineer contributing to Azure-based enterprise solutions, real-time telemetry systems, and scalable .NET microservices that improved monitoring reliability and UI latency.
Education
Degrees, certifications, and relevant coursework
University of Toronto
Master of Science, Computer Science
2011 - 2013
Completed a Master's degree in Computer Science focusing on advanced software engineering and AI/ML techniques.
University of Toronto
Bachelor of Science, Computer Science
2007 - 2011
Earned a Bachelor's degree in Computer Science with coursework in systems, software development, and algorithms.
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
Gmail
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
Enhance
Faiss
LangGraph
Availability
Location
Authorized to work in
Job categories
Skills
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