Flagship Case Studies

Evidence-first project showcases with metrics, architecture decisions, and lessons learned from scaling AI systems and infrastructure.

Multi-Cloud Kubernetes Migration

Complete migration from ECS to EKS to multi-cloud setup with intelligent spend tracking for $10-12M quarterly infrastructure budget.

$2.3M saved
41% cost reduction
Zero downtime
KubernetesIstioGrafanaArgoCDTerraform
View Case Study →

Cerebro AI Sales Platform

Outlook-integrated AI assistant for automated quote generation with SAP ERP integration and knowledge base search.

6-8 mo plan
K8s deployment
SAP integration
KubernetesS3LambdaOutlook APISAP
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Trendvesting Trading Platform

Social trading platform with LoRA strategy switching, live market integration via SnapTrade, and fraud detection pipeline.

LoRA switcher
Revenue share
Fraud detection
LoRASnapTradePythonMLRedis
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Legacy ML Pipeline Modernization

Transformed legacy ML workflows with data contracts, evaluation harness, and LoRA adapter management for production AI systems.

Data contracts
Eval harness
LoRA adapters
PythonMLflowKubeflowLoRAPostgreSQL
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Want this outcome?

Book an AI Feasibility Sprint to get your 90-day implementation plan.

What CTOs and Engineering Leaders Say

"Tim's infrastructure audit saved us $2.3M and identified bottlenecks we didn't even know existed."
— Sarah Chen
VP Engineering, Fintech Startup
"The AI feasibility sprint gave us clarity on our 18-month roadmap. No more guessing on priorities."
— Marcus Johnson
CTO, Healthcare Tech
"Direct, actionable insights. Tim focuses on what matters: shipping and measuring outcomes."
— Alex Rivera
Head of Product, SaaS Platform

My Approach

1

Assess Current State

Deep audit of existing systems, data, and team capabilities

2

Design Architecture

Create scalable, maintainable solutions aligned with business goals

3

Implement & Measure

Ship incrementally with proper monitoring and evaluation frameworks

4

Scale & Optimize

Continuous improvement based on metrics and operational learnings

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