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Fiverr Pro
English
$
USD
I will review your ai or llm system for production readiness
Manuel B.
About this gig
I review AI and LLM systems to identify production risks before they become expensive reliability, quality, security, or cost problems.
I can assess areas such as:
- software and solution architecture
- Python/FastAPI backends and APIs
- RAG and retrieval quality
- agent workflows and failure modes
- evals, observability, logging, and monitoring
- deployment, reliability, latency, and cost
- data flow, permissions, and operational readiness
You will receive clear, prioritized findings with practical recommendations and next stepsnot a generic AI assessment.
Package scope:
- Basic: focused review of one clearly defined area
- Standard: broader production-readiness review of one AI/LLM system
- Premium: deeper architecture and implementation review, including selected technical artifacts and a prioritized roadmap
Please provide relevant architecture diagrams, technical documentation, screenshots, repository access, or other materials needed for the selected scope.
This Gig is for review and advisory work. Full implementation, large-scale code rewrites, penetration testing, or formal compliance certification are not included unless agreed separately.
Get to know Manuel B.
Manuel B.
AI Systems Architect and Solution Architect
- FromGermany
- Member sinceAug 2022
Languages
English, German, Russian
I design and review production-ready software and AI systems, focusing on software architecture, Python and FastAPI backends, APIs, cloud infrastructure, and LLM systems.
Since 2018, I have worked across software engineering, data engineering, cloud architecture, and AI. Today I work as an independent AI Systems Architect and as Co-Founder and CTO of an AI product.
I help with AI and LLM architecture reviews, production readiness, backend architecture, RAG, agents, evals, observability, APIs, data architecture, and cloud systems.
My Portfolio
FAQ
What do you need from me to start the review?
Please provide the relevant architecture diagrams, technical documentation, screenshots, repository access if applicable, and a short description of the system, current problems, and your goals. I will use only the materials needed for the selected package.
Do you need access to my source code or repository?
Not always. A focused or architecture-level review can often be done from documentation, diagrams, screenshots, and technical context. Repository access is most useful for deeper implementation reviews and will only be requested when it adds value.
What will I receive after the review?
You will receive prioritized findings, identified risks, concrete technical recommendations, and next steps. Depending on the package, this may also include architecture recommendations, production-readiness guidance, cost considerations, and a prioritized roadmap.
Can you review an early prototype or unfinished AI system?
Yes. Production-readiness reviews are often most valuable before a system is fully finished. I can review prototypes, MVPs, existing production systems, or planned architectures and identify risks before further implementation.
Is implementation included in this Gig?
No. This Gig focuses on technical review, architecture, production readiness, and advisory work. Implementation, major refactoring, penetration testing, or formal compliance certification are not included unless we agree on a separate scope.
Will you keep my technical information confidential?
Yes. I treat architecture, code, documentation, and business information as confidential and use them only for the agreed review.
