Experience
Experience
Software and machine learning roles across production GenAI, platform engineering, and applied research, newest first.
timeline
- Present
Feb 2024 – Present2.5 YOE
ResMedSenior Machine Learning Engineer
Full-timesummary
Machine learning and conversational AI for sleep health, from GenAI platform infrastructure to consumer products and clinical modeling.
key impact
1.5M+Dawn beta enquiriesPublicly reported product and team milestoneAgentsTool-use orchestrationLangGraph systems with specialized workflowsIaCProduction environmentsTerraform-managed AWS infrastructureEvalQuality gatesFine-tuning and evaluation pipelineskey responsibilities
- Founding engineer on ResMed's internal GenAI platform: retrieval-augmented generation infrastructure, agent architectures (LangGraph tool-use agents), Terraform-managed AWS environments, security hardening, and LLM fine-tuning and evaluation pipelines reused across downstream products.
- Built Dawn, ResMed's generative-AI sleep-health assistant, largely from the ground up: one backend powering both the myAir app and the web experience, and I built both surfaces. ResMed AI leadership later publicly named me among the Dawn team when the product crossed 1.5 million enquiries in beta.
- Built Dusk from the ground up, now publicly presented by ResMed as an AI-powered sleep coach with natural voice support, adaptive guidance, and personalized CBT-I plans. Pending IP covers the multi-agent CBT-I system (P2852US1).
- Currently leading COMISA (comorbid insomnia and sleep apnea) modeling: clinical ML research on polysomnography data with interpretable baselines and clinician-in-the-loop label validation.
- Heavy code-review and mentoring load across the GenAI platform: onboarding materials, contribution-process docs, and hundreds of pull requests authored and reviewed.
tech stack
PythonRAGLangGraphTerraformAWSLLM Fine-tuningLLM EvaluationVoice AI - 2021
- 2019
- 2018
ResMed
Feb 2024 – Present2.5 YOESenior Machine Learning Engineer
Full-timesummary
Machine learning and conversational AI for sleep health, from GenAI platform infrastructure to consumer products and clinical modeling.
key impact
1.5M+
Dawn beta enquiries
Publicly reported product and team milestone
Agents
Tool-use orchestration
LangGraph systems with specialized workflows
IaC
Production environments
Terraform-managed AWS infrastructure
Eval
Quality gates
Fine-tuning and evaluation pipelines
key responsibilities
- Founding engineer on ResMed's internal GenAI platform: retrieval-augmented generation infrastructure, agent architectures (LangGraph tool-use agents), Terraform-managed AWS environments, security hardening, and LLM fine-tuning and evaluation pipelines reused across downstream products.
- Built Dawn, ResMed's generative-AI sleep-health assistant, largely from the ground up: one backend powering both the myAir app and the web experience, and I built both surfaces. ResMed AI leadership later publicly named me among the Dawn team when the product crossed 1.5 million enquiries in beta.
- Built Dusk from the ground up, now publicly presented by ResMed as an AI-powered sleep coach with natural voice support, adaptive guidance, and personalized CBT-I plans. Pending IP covers the multi-agent CBT-I system (P2852US1).
- Currently leading COMISA (comorbid insomnia and sleep apnea) modeling: clinical ML research on polysomnography data with interpretable baselines and clinician-in-the-loop label validation.
- Heavy code-review and mentoring load across the GenAI platform: onboarding materials, contribution-process docs, and hundreds of pull requests authored and reviewed.
tech stack
PythonRAGLangGraphTerraformAWSLLM Fine-tuningLLM EvaluationVoice AI