AWS & AI Project Rescue
Take control of the project you inherited.
Your agency has finished. A developer has left. Or your team has inherited a system that nobody fully understands.
I help you find out what works, what puts the business at risk, and what to fix first. The review covers the code, AWS setup and how the system runs in production.
Start with a short project brief. We agree on scope and access before the review begins.
You have the project. You need a clear way forward.
- The handover is incomplete.
- You have a repository, but the setup steps, account ownership or deployment process are unclear. How I approach this
- Every release feels risky.
- Changes break other parts of the product, and the team cannot confidently roll back. How I approach this
- The cloud or AI bill keeps growing.
- You need to know which costs support real usage and which come from waste or repeated work. How I approach this
- The AI demo cannot handle real users.
- Answers are unreliable, access is too broad, or model calls run without clear limits. How I approach this
- Someone says the whole thing needs rebuilding.
- You need evidence before spending more money on that decision. How I approach this
Code is only part of the handover.
Within the agreed scope, I review the system and the way your team runs it.
- Code and dependencies
- How the system fits together, where changes are fragile, and which tests can be trusted.
- AWS setup and access
- Account ownership, permissions, exposed services and environment setup.
- Releases and recovery
- How changes reach production, how failures are detected, and how the team can recover.
- Running costs
- Billing and usage evidence, idle resources, repeated work and AI calls without clear limits.
- AI behaviour, where relevant
- Answer quality, source evidence, tool access, fallbacks and human approval.
- Team handover
- Missing documentation, unclear ownership and the steps needed for your team to run the system.
A clear decision before the next round of development.
A map of the current system
The main components, dependencies and owners, including gaps that still need answers.
Risks backed by evidence
What needs attention first, why it matters, and what remains uncertain.
A keep, fix or replace recommendation
Which parts are worth keeping and where a larger change has a clear reason.
A recovery plan in the right order
The work needed to make the system safer to run and easier to change.
A written handover and findings call
Your team can ask questions and understand the next steps.
Review first. Repair with a clear scope.
1.Share the situation
Tell me what the product does, what is going wrong, who maintains it and which decision is blocked.
2.Agree on the review
We choose one system and confirm the questions, access, fee and delivery date.
3.Review the evidence
I inspect the agreed code, infrastructure and operating data. I separate confirmed findings from open questions.
4.Choose the next step
Your team can carry out the plan. If you need hands-on help, we agree on a separate repair phase with clear checks and a handover.
Scope and price
Start with one system.
The Production GenAI & AWS Reliability Audit starts at $2,000, with a report in 10 business days. We confirm the scope, required access, start date and delivery date before work begins.
The review and repair work are separate engagements. The findings guide the repair scope and estimate.
Why work with me
Work directly with the person reviewing your system.
I’m Rahul Ladumor, a Principal Cloud & AI Platform Architect with 9+ years of engineering experience.
My work spans backend development, AWS infrastructure, deployments and production AI. I can follow a problem from application code through the cloud setup and into the way your team releases and supports it.
You work directly with me through the review. I explain the evidence, the trade-offs and the changes your team will need to own.
See my production workBefore you share the project.
Can you review a project built by an agency?
Yes. I review the system as it stands and the evidence available. The aim is to help you take ownership and make the next decision with confidence.
Will you recommend a full rebuild?
Only when the findings support it. I assess whether targeted repairs can meet the business need. If replacing part of the system makes more sense, I explain the reasons and trade-offs.
Can you fix the problems after the review?
Yes, when the work fits my AWS and AI production focus. We agree on the repair scope, checks, timeline and handover after reviewing the findings.
What access do you need?
That depends on the scope. It may include read-only repository access, AWS configuration, billing exports, logs and deployment details. We agree on access before work starts. Please leave passwords, API keys and customer data out of the initial form.
Do I need an engineering team?
You need someone who can approve the work and arrange access. If there is no engineering team in place, tell me in the brief. We will clarify who will own the system after the review or repair phase.
Is this an emergency response service?
This is a scheduled consulting engagement. If an incident is active, mention it in the brief so I can confirm availability and whether I can help.
Know what to fix before you spend more.
Tell me what you inherited, what is going wrong and which decision you need to make. I’ll review the brief and confirm whether the work is a fit.
Prefer email? rahuldladumor@gmail.com