Senior Full-Stack Developer | Cloud & Distributed Systems | AI/ML
💡 10+ years building scalable software across healthcare, fintech, and cloud platforms
⚙️ Focused on microservices, event-driven systems, and cloud-native applications
🧠 Recently expanded into AI/ML development (PyTorch, data pipelines, applied ML)
- Build scalable backend systems using Java, Node.js, and Kafka
- Develop modern web applications with React and TypeScript
- Design cloud-native solutions on AWS with Docker and Kubernetes
- Work with distributed and event-driven architectures
- Experiment with AI/ML pipelines and automation
Most of my recent professional work is in private repositories, including:
- Migrating legacy systems to microservices-based architectures
- Building event-driven systems using Kafka and RabbitMQ
- Developing secure healthcare and financial platforms (HL7 FHIR APIs)
- Creating CI/CD pipelines and infrastructure tooling (Docker, Kubernetes, AWS)
- Prototyping AI/ML workflows using PyTorch and Python
Due to NDAs, I can’t share this code publicly, but I’m happy to discuss system design and technical decisions.
- Machine learning with PyTorch and scikit-learn
- Data processing with Pandas and NumPy
- AI-driven automation and applied ML concepts
- Ethical and practical AI development approaches
Core:
Java • Node.js • React • TypeScript • Python • AWS • Docker • Kubernetes • Kafka
Additional:
PostgreSQL • MongoDB • Go • Redis • CI/CD • Microservices • REST APIs
- IBM Canada – Full-stack development on large-scale financial systems
- Telus Health – Healthcare platform modernization + cloud migration
- Seddi – Senior full-stack work with microservices and CI/CD
- Henry Schein – Full-stack development + early AI/ML prototyping
Since most of my work is private, this GitHub includes:
- AI/ML experiments and prototypes
- Small technical demos and utilities
- Learning-focused projects
- 📧 jeremy [dot] muise [at] gmail [dot] com
- 💼 LinkedIn: https://linkedin.com/in/jmuise
- 🌍 Open to senior engineering opportunities
I enjoy building complex systems that sit at the intersection of backend engineering, infrastructure, and emerging AI capabilities.