Distributed Systems
Scalable, resilient, production-grade architectures
Hello, I’m
Chris Hull
Software Engineering Leader
Distributed Systems • Edge & Embedded AI • Cloud & ML Platforms
I design and lead production systems where software, cloud infrastructure, machine learning, and edge hardware meet.
Work. Ideas. Life. Still Loading...About
I’m a Software Engineering Leader with 14+ years of experience building and leading distributed systems at the intersection of cloud infrastructure, edge computing, machine learning, and real-time applications. I enjoy solving complex systems problems—from architecture and technical direction to hands-on implementation—and turning ambitious ideas into reliable, scalable production systems.
Edge & Embedded AI
Computer vision, IoT, real-time inference, Linux
Cloud & ML Platforms
AWS, GCP, Kubernetes, data and ML infrastructure
Technical Leadership
Architecture, mentorship, cross-functional collaboration
Selected Work
ML Platform &
Infrastructure
Architected and deployed a production ML platform on GKE with GPU time-sharing, gRPC services, Envoy, and Kafka.
- 198K+
- monthly requests
- 15+
- models served
- 80%
- lower latency
- $120K+
- annual cloud savings
Edge-to-Cloud
Vehicle Inspection
Served as technical lead and primary architect for a production vehicle-inspection platform spanning embedded devices, cloud services, real-time data, and machine learning.
- NVIDIA Jetson
- edge compute
- AWS IoT Core
- device connectivity
- Kafka + FastAPI
- service backbone
- ML Services
- condition analysis
Platform Modernization &
Distributed Systems
Led modernization efforts across enterprise platforms, including microservices decomposition, event-driven architecture, observability, CI/CD, and cloud migration.
- Microservices
- service decomposition
- Kafka
- event-driven architecture
- Kubernetes
- production platform
- Datadog
- observability standards
Observability
Standardization
Led observability standardization across 30+ production services, defining reusable logging, metrics, alerting, and Helm-based monitoring patterns while migrating teams from Splunk/New Relic to Datadog.
- 30+
- production services
- Datadog
- unified observability
- Helm
- reusable monitoring patterns
- Splunk → Datadog
- tooling migration
Resume
View my full resume for a complete overview of my experience, projects, technical leadership, and engineering background.
What Colleagues Say
“I had the opportunity to work with Chris in R&D at ACV for over a year. When I joined the team, I learned a lot from him and his architectural leadership was very evident. Chris is smart, passionate, and takes pride in his work and doing things the "right" way. ACV's VIPER platform would not be where it is today without him. He is an elite problem solver and has a very broad skill set that ranges from traditional backend software engineering to machine learning model deployment strategies to embedded systems design including hardware setup and testing. I truly believe there's no technical problem he couldn't tackle.”
“Chris is one of the most determined software developers I've ever worked with. For the numerous projects we have worked together on, I knew that any component that Chris worked on would be completed and well documented, often much earlier than expected. More importantly, Chris cares deeply about the quality of his work, and will use all available resources to ensure every solution he produces is able to stand on its own merit. In our projects together, I have never worked with a person more flexible, more reliable, or more passionate about solving problems, especially if those problems were intimidatingly complex.”
“He is the best leader and manager I have ever met in my professional life - a guru in the profession, a genius in solving the most difficult problems, calm and confident in the organization of processes and very attentive and tactful with team members...”
More recommendations
See additional professional history, recommendations, and mutual connections on LinkedIn.