Run a free public snapshot. If the account looks like a fit, move into a fixed-price async audit that returns ROI-ranked savings, reliability gaps, and an implementation plan in 5 business days. No calls. No Zoom. No retainer.
48-hour free scan. Async delivery. No system access for the first step.
One repeatable async workflow built to qualify, sell, and deliver without meetings.
A fixed-price, async audit for teams spending real money in Azure and wanting immediate savings, reliability, and automation opportunities ranked by ROI.
Timeline
5 business days
Outcome
15-35% savings candidates plus reliability gaps
Pricing
Flat-rate async
The sales and delivery path is snapshot first, async intake second, written deliverable last. No discovery call bottleneck.
The same engine powers each engagement: public scan, lead qualification, AI-assisted analysis, portal, and implementation plan.
Automation generates the first draft of insight. Human review sharpens the output. That keeps margins healthier than custom consulting.
Public code, shipped automation, and technical write-ups. The point is to show the delivery engine, not sell a lifestyle brand.
View GitHub ProfileIf the public footprint looks promising, the next step is the paid async audit. You answer the intake once and get the report back without sitting through sales calls.
Get Free Snapshot
AI Software Engineer based in Nashville with expertise in Azure cloud architecture and AI systems.
Microsoft Azure Solutions Architect Expert (certified 2024) with a proven track record of reducing operational costs by ~20% on average with transparent baselines and shipping AI pilots in production environments.
Passionate about fintech, cryptocurrency infrastructure, and building systems that actually ship and scale.
AI & Backend
Python, FastAPI, LLMs, Data Processing, ML Pipelines
Cloud & Infrastructure
Azure (VMs, AKS, Functions, SQL), IaC, CI/CD, DevOps
Fintech & Crypto
Trading Systems, Bitcoin, Portfolio Management, Risk Analysis
01
Run the free snapshot
The free scan checks public signals and qualifies whether a deeper Azure audit is worth doing.
02
Complete the async intake
If it looks like a fit, the next step is a structured intake for spend, priorities, and read-only artifacts.
03
Receive the audit
You get a written report with ranked findings, savings math, and exact implementation moves.
04
Decide on implementation
Only after the report do you decide whether you want the implementation pack. The audit stands on its own.