If AI is the brain of your business, infrastructure is the nervous system.
I help companies design and operate modern, secure, high-performance systems in the cloud. Whether you're shipping a consumer app or deploying AI in production, I give you the foundations to move fast, scale safely, and stay in control.
What I Offer
I provide deep expertise across both cloud-native architecture and modern MLOps. That means I can design the infrastructure your applications rely on and build the automated pipelines that keep your machine learning systems healthy and efficient.
Cloud-Native Application Architecture
I build scalable, cost-effective infrastructure on AWS and Azure. Whether you're starting greenfield or modernizing legacy systems, I deploy everything using Infrastructure as Code and clean CI/CD practices.
Key capabilities:
Cloud cost optimization and billing audits
Greenfield infrastructure design and bootstrapping
High-availability full-stack architectures
Deployment of serverless systems, container clusters, and AI workloads
AWS Well-Architected Reviews
MLOps, DevOps, and DevSecOps
Once your model is trained, the real work begins.
I build robust pipelines for training, evaluation, deployment, and monitoring—backed by best practices from enterprise ML systems.
Key capabilities:
Secure, automated pipelines for training and deployment
Optimization of training jobs for cost, throughput, and accuracy
Inference endpoint deployment and autoscaling
Integrated logging, metrics, and tracing for full observability
Software supply chain security and artifact hygiene
My Approach
I build systems that are clean, observable, and designed for scale.
You get reproducible infrastructure, secure defaults, and zero guesswork when things break. My philosophy is to move fast—but never recklessly.
What I prioritize:
Automation first — deployment through CI/CD, not manual clicks
Security by default — proper IAM, secrets management, and audit trails
Performance and cost — tune where it matters, simplify where it doesn’t
Observability — full visibility from API to database to GPU
Results You Can Expect
Clients typically see:
30 to 70 percent reduction in cloud spend
3x faster deployment cycles after adopting CI/CD
Lower time to resolution and higher uptime through better observability
Training costs cut in half with smarter infrastructure and job scheduling
Case Study
Event-Driven Invoice Processing at Scale
A global enterprise needed to process over 86 million invoice-related events per day with strict SLAs, audit requirements, and near real-time visibility.
I led the architecture and implementation of a fully serverless Business Event Monitoring System (BEMS) on AWS.
The solution uses API Gateway, EventBridge, SNS, SQS, and Lambda to process events in partitioned pipelines across regional deployment cells. Events are streamed into Amazon Timestream and visualized in QuickSight dashboards that power executive and operational insights.
The system includes dead-letter queues, API usage plans, anomaly detection, and full end-to-end observability with CloudWatch and X-Ray. It operates with zero idle compute, handles regional failover, and scales to over 600,000 events per minute.
Result: Real-time visibility into invoice flow, 80 percent faster recovery from stuck events, and zero operational intervention during end-of-month spikes.
Client feedback: “We can finally see what’s happening and trust that it’s right.”
Pricing and Guarantee
I charge $300 per hour of my time. That includes all compute, networking, and power costs for jobs that I can run on my own hardware or in your cloud environment.
I stand behind my work with My Iron-clad guarantee. If you are not satisfied with the results, you do not pay.
Work With Me
I work primarily with clients in the United States.
You get my attention, my compute, and my expertise focused entirely on your problem. No queue. No subcontractors. No wasted cycles.
Book a call today and scope your training needs.