PhD-qualified cloud researcher with 5+ years building production-grade serverless systems on AWS, Kubernetes, and OpenFaaS. I help teams design, audit, and optimise cloud infrastructure — with a particular focus on cost, SLA compliance, and intelligent autoscaling.
Based in Melbourne, Australia. Remote engagements welcome globally.
Credentials
4 open-source systems built on Kubernetes & AWS
Industry experience · IBM
ABN 74 616 175 004
Availability
Open to new engagements
Melbourne (AEST) · Remote globally
Fixed-scope sessions for individuals and teams. Larger projects quoted on request.
Quick technical scoping session. Bring your problem — serverless cold starts, Kubernetes scaling, AWS architecture, cost spikes — and we'll map out a path forward.
AUD $80 / session
Book NowDeep-dive into your existing cloud setup. I review your serverless functions, Kubernetes configs, or AWS architecture and deliver a structured written report with findings and prioritised recommendations.
AUD $300 / engagement
Book NowExtended implementation partnership for teams building or migrating cloud infrastructure. Day-rate or milestone-based. Involves direct contribution to architecture, configuration, and code.
Custom · quoted per project
Get in TouchChoose a service tier, pick a time slot, and pay securely via Stripe at booking. You'll receive a confirmation and a pre-session form.
Fill in the short intake form — your stack, goals, and what you need. This lets me prepare and make the session as useful as possible.
We meet over video. I bring domain expertise; you bring your architecture. We work through the problem together and agree on a path forward.
Notes, recommendations, or a formal written report — depending on the service tier — delivered within 48 hours of the session.
Serverless & FaaS
Cold start reduction, memory right-sizing, autoscaling policy design, SLA-aware scheduling, and cost optimisation on AWS Lambda and OpenFaaS. Backed by 5 peer-reviewed publications in this space.
Kubernetes & Container Orchestration
Multi-node cluster design, custom operators and CRDs, HPA tuning, and observability with Prometheus and Grafana on cloud and on-premises infrastructure.
Cloud Cost & Performance Optimisation
Identifying over-provisioned resources, right-sizing compute allocations, and applying ML-driven policies to reduce waste without sacrificing throughput or SLA compliance.
ML-Driven Infrastructure
Applying reinforcement learning and ensemble ML to cloud infrastructure problems — predictive autoscaling, intelligent resource allocation, and anomaly detection for distributed platforms.
Select a service, pick a time, and pay securely via Stripe at booking.
Primarily AWS (Lambda, EC2, EKS, S3, IAM, VPC, CloudWatch) and Kubernetes-based platforms including OpenFaaS and Kubeless on both cloud and on-premises infrastructure. I also have experience with GCP and OpenStack from research deployments.
Both. Discovery calls and architecture reviews are well-suited to startups and early-stage teams who need expert direction without a long retainer. Hands-on engagements work for teams of any size. Pricing is transparent and fixed-scope for the first two tiers.
Yes — this is a core research focus. My published work has demonstrated 57–87% cost savings on serverless workloads through input-aware memory right-sizing, and 1.84× overall cost reduction through intelligent scheduling. I apply the same principles to client infrastructure in the Architecture Review engagement.
All sessions are remote by default (Google Meet or Zoom). In-person sessions can be arranged within Melbourne for an additional travel surcharge. International clients are welcome — sessions are scheduled in AEST with flexibility for European and US time zones.
Full refund if cancelled more than 24 hours before the session. 50% refund for cancellations within 24 hours. No refund for no-shows. Rescheduling is available up to 12 hours before the session at no charge.