You will get an AI solution architecture review and recommendations
Rising Talent
Rising Talent
Project details
I will review your AI-enabled solution architecture and provide structured, practical recommendations to improve design clarity, control patterns, implementation direction, and operational fit. This service is ideal for teams that need senior technical input before implementation, during modernization, or when an AI workflow needs a more credible and better-governed path forward.
My approach combines solution architecture, cloud platform thinking, delivery awareness, and practical AI implementation structure. I look at how the solution is designed, how retrieval and response patterns are handled, where runtime or governance risks may appear, and what should be prioritized next. Depending on the package you select, you’ll receive concise findings, prioritized recommendations, and a clear action plan you can use to improve architecture quality and delivery confidence.
My approach combines solution architecture, cloud platform thinking, delivery awareness, and practical AI implementation structure. I look at how the solution is designed, how retrieval and response patterns are handled, where runtime or governance risks may appear, and what should be prioritized next. Depending on the package you select, you’ll receive concise findings, prioritized recommendations, and a clear action plan you can use to improve architecture quality and delivery confidence.
AI Development Type
Deep Learning, Knowledge Representation, Model Tuning, Software MaintenanceAI Tools
Amazon SageMaker, Azure Machine Learning, MLflow, PyTorch, TensorFlowAI Development Language
PythonWhat's included
| Service Tiers |
Starter
$149
|
Standard
$349
|
Advanced
$749
|
|---|---|---|---|
| Delivery Time | 3 days | 5 days | 7 days |
Number of Revisions | 1 | 1 | 2 |
AI Model Integration | - | - | - |
Detailed Code Comments | - | - | - |
Knowledge Graph | - | - | - |
Model Documentation | |||
Ontology | - | - | - |
Source Code | - | - | - |
Taxonomy | - | - | - |
Optional add-ons
You can add these on the next page.
Additional Revision
+$99Frequently asked questions
About Aleksy
Solution Architect | Cloud, DevOps & AI Solutions Consultant
Fernvale, Australia - 5:05 pm local time
That is the kind of work I focus on.
I’m a Solution Architect and Cloud/DevOps consultant with hands-on experience helping organisations design, improve, and modernise technology environments across Azure and AWS. My work sits between architecture, platform engineering, automation, and delivery enablement - which means I do not just think about how a solution should look, but how it will actually be built, deployed, governed, and supported.
I help clients with cloud architecture, DevOps uplift, CI/CD improvement, Terraform and infrastructure as code, container platforms, operational readiness, and AI-enabled internal solutions. In practice, that often means stepping into situations where the direction is unclear, delivery is harder than it should be, environments are inconsistent, or a promising idea needs stronger technical structure to become real.
What I bring is a mix of architecture thinking and engineering practicality. I understand the big picture, but I also understand the realities underneath it: release friction, environment drift, manual processes, weak controls, supportability issues, and the gap that often appears between design intent and delivery outcomes.
Clients value me when they need someone who can:
• shape a sound solution direction
• improve technical delivery foundations
• reduce complexity without oversimplifying the problem
• bring structure to cloud and platform work
• support change in a way that is both technically credible and operationally realistic
My style is calm, structured, and outcome-focused. I care about solutions being clear, supportable, and fit for purpose - not just technically interesting.
If you need a senior consultant who can bridge architecture, cloud, DevOps, and implementation in a practical way, I’d be glad to help.
Steps for completing your project
After purchasing the project, send requirements so Aleksy can start the project.
Delivery time starts when Aleksy receives requirements from you.
Aleksy works on your project following the steps below.
Revisions may occur after the delivery date.
Review your current AI solution structure
I review your architecture, workflow, and technical context to understand how the AI-enabled solution is structured and where risks, gaps, or unclear design decisions may exist.
Assess findings and priorities
I assess architecture clarity, control patterns, retrieval or response flow, operational fit, and delivery readiness to identify the most important issues and improvement opportunities.