You will get an AI workflow diagnostic with a fixed implementation plan
Rising Talent
Rising Talent
Project details
You will get a focused diagnostic of one AI workflow or agent system based on the materials you provide. I will map the current flow, identify reliability, data, security, observability, cost, and operating risks where relevant, then rank the findings by severity. The final deliverable is a concise report with a workflow map, evidence-backed findings, priorities, and a fixed implementation route. This project is designed for founders and operators who need a clear technical decision before committing to a broader build. It covers diagnosis and planning, not hands-on implementation.
AI Algorithms
Large Language ModelAI Applications
AI Chatbot, AIOps, Conversational AI, Natural Language UnderstandingAI Development Language
PythonAI Models
ChatGPTWhat's included $299
These options are included with the project scope.
$299
- Delivery Time 3 days
- Number of Revisions 1
Frequently asked questions
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DS
Dmitry S.
Jul 2, 2026
AWS Cost Reduction Specialist
Aleksei exceeded our expectations. He quickly analyzed our AWS infrastructure, identified the biggest cost drivers, and implemented practical optimizations that reduced our server costs by more than 50% without disrupting production. Beyond the immediate savings, he provided valuable architectural feedback and identified potential scalability issues before they became problems.
I would confidently recommend Aleksei not only as a DevOps engineer, but also as a CTO or Tech Lead. He has a rare ability to understand both the technical details and the bigger business picture, make sound architectural decisions, and execute them efficiently. Excellent communication, strong leadership, and deep technical expertise. We'd be happy to work with him again.
I would confidently recommend Aleksei not only as a DevOps engineer, but also as a CTO or Tech Lead. He has a rare ability to understand both the technical details and the bigger business picture, make sound architectural decisions, and execute them efficiently. Excellent communication, strong leadership, and deep technical expertise. We'd be happy to work with him again.
About Aleksei
AI Product & Systems Engineer | Agents, Automations, App Releases
Phuket, Thailand - 1:40 am local time
I have built 10+ products across approximately seven years as a founder, after an engineering career that included Yandex and RiskMatch. Two products were sold. AI Boost operated across iOS, Android and Web, reached approximately $40K in monthly product revenue across the three platforms, and supported up to 16,000 new users per day.
Typical scopes:
- Production readiness, store submission, review remediation and repeatable releases
- AI workflow or agent audits, implementation, evals, permissions and operating controls
- Fractional CTO ownership for architecture, product systems and early engineering decisions
For an uncertain system, I start with a paid diagnostic. For a defined implementation, I agree the deliverable and acceptance checks before building. For ongoing ownership, I work on a limited weekly cadence.
Send the current product, blocker and desired outcome. I will reply with the paid scope I can honestly own.
Steps for completing your project
After purchasing the project, send requirements so Aleksei can start the project.
Delivery time starts when Aleksei receives requirements from you.
Aleksei works on your project following the steps below.
Revisions may occur after the delivery date.
Review scope and evidence
I review the submitted workflow, goals, tools, constraints, and evidence to confirm the diagnostic scope.
Map risks and failure modes
I trace the workflow and rank material reliability, data, security, observability, cost, and operating risks where relevant.