You will get a RAG quality audit with evaluation harness and ranked fixes
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Project details
Your RAG system returns confident, irrelevant answers. Users stopped trusting it. Changing the prompt didn't help — because the problem is almost never the prompt.
It's usually retrieval: chunks that split mid-thought, embeddings that don't match how people actually ask, no reranking, and no way to measure whether a change made things better or worse.
What I review:
• Chunking strategy — size, overlap, and whether it respects document structure
• Embedding model choice and whether it suits your domain language
• Retrieval: top-k, filtering, metadata use, hybrid keyword + vector search
• Reranking — usually the single biggest quality win, and usually missing
• How context is assembled and where it gets truncated
• Whether you can measure quality at all
What you get:
Findings ranked by impact, a reusable evaluation harness with baseline scores so future changes are measurable, and a specific fix list in the order I'd do them.
Good fit if: your RAG works in demos but not for real questions, or you can't tell whether your last change helped.
It's usually retrieval: chunks that split mid-thought, embeddings that don't match how people actually ask, no reranking, and no way to measure whether a change made things better or worse.
What I review:
• Chunking strategy — size, overlap, and whether it respects document structure
• Embedding model choice and whether it suits your domain language
• Retrieval: top-k, filtering, metadata use, hybrid keyword + vector search
• Reranking — usually the single biggest quality win, and usually missing
• How context is assembled and where it gets truncated
• Whether you can measure quality at all
What you get:
Findings ranked by impact, a reusable evaluation harness with baseline scores so future changes are measurable, and a specific fix list in the order I'd do them.
Good fit if: your RAG works in demos but not for real questions, or you can't tell whether your last change helped.
AI Development Type
Knowledge Representation, Model Tuning, Recommendation System, Software MaintenanceAI Tools
Azure Machine Learning, Keras, MLflow, OpenCV, PyBrain, SonnetAI Development Language
PythonWhat's included
| Service Tiers |
Starter
$500
|
Standard
$850
|
Advanced
$1,800
|
|---|---|---|---|
| Delivery Time | 4 days | 5 days | 9 days |
Number of Revisions | 1 | 2 | 2 |
AI Model Integration | - | ||
Detailed Code Comments | |||
Knowledge Graph | - | ||
Model Documentation | - | ||
Ontology | - | - | - |
Source Code | |||
Taxonomy | - | - | - |
Frequently asked questions
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JO
Joerg O.
Apr 16, 2026
Full Stack Development
I highly recommend working with Stan - he ramped up on our complex multi-agent AI architecture remarkably fast, understood the full project structure within days, and played a key role in delivering on our launch deadline. Reliable, sharp, and a clear communicator.
DH
Daniel H.
Apr 10, 2026
Senior Python Developer to Build SMS-to-AI MVP SaaS (Django, React, Africa’s Talking, and OpenAI)
I worked with Stanislav on M-JIBU, an SMS-based AI assistant built for the Kenyan market. The platform allows users without internet access to interact with AI through basic text messages on any mobile phone, with payments handled via M-PESA and messaging routed through Africa's Talking API.
Stanislav was responsible for building out the entire backend infrastructure using Python, Django, Django REST Framework, PostgreSQL, Celery, Redis, all containerized with Docker and Docker Compose and deployed on a VPS. He also handled the integration work with Africa's Talking for SMS delivery and M-PESA for mobile payments, which are critical to the product's functionality.
Two things stood out about working with him. First, he moved through the development work very fast without cutting corners. Second, when we ran into unforeseen delays on our side related to licensing and administration, development had to be put on hold for a period. Stanislav was completely understanding about the situation and patient throughout. When we were ready to pick things back up, he jumped right back in.
I would not hesitate to work with Stanislav again and would recommend him to anyone looking for a dependable, skilled backend developer.
Stanislav was responsible for building out the entire backend infrastructure using Python, Django, Django REST Framework, PostgreSQL, Celery, Redis, all containerized with Docker and Docker Compose and deployed on a VPS. He also handled the integration work with Africa's Talking for SMS delivery and M-PESA for mobile payments, which are critical to the product's functionality.
Two things stood out about working with him. First, he moved through the development work very fast without cutting corners. Second, when we ran into unforeseen delays on our side related to licensing and administration, development had to be put on hold for a period. Stanislav was completely understanding about the situation and patient throughout. When we were ready to pick things back up, he jumped right back in.
I would not hesitate to work with Stanislav again and would recommend him to anyone looking for a dependable, skilled backend developer.
DD
Deyan D.
Feb 5, 2026
Experienced Python Django Developer (Part-time, Ongoing Project)
Stanislav was working with us on an internal gas trading web platform built with Python and Django, deployed on AWS. He demonstrated a strong understanding of Django, Django Admin, and backend architecture, and was able to quickly get up to speed with an existing production system. His Python skills are solid, communication was clear on both technical and business topics, and tasks were delivered reliably. Overall, a professional and dependable developer, and a good experience working together.
ST
Sam T.
Feb 4, 2026
Senior Python Developer for Quoting App Automation with Django, React, and Docker
Stanislav finished MVP automation tool for us. He worked fast and with high quality. I appreciated his thoughtful planning approach. He shared his architectural approach and asked for feedback on that early on, which helped move the project along smoothly. His communication skills were great (spoken, written, demeanor). Super easy to work with.
JN
Julian N.
Jan 6, 2026
Senior Python Developer for Web-Based Quotation for HVAC
Very professional and happy to work with Stanislav again!
About Stanislav
Senior Python Developer | AI App RAG | SaaS Web MVP
100%
Job Success
Vinnytsia, Ukraine - 2:25 am local time
Need AI that works in production rather than a demo? That's my core strength — agents that carry out multi-step work, RAG over your own data, and the Django/FastAPI backends that make them reliable. Recent builds include an AI telephonic agent platform on Python/Azure and an SMS-to-AI assistant serving users with no internet access.
I also own backend-heavy work end to end — database and API design, integrations, deployment — and help teams fix slow, messy, or hard-to-maintain Python/Django codebases by restructuring logic, stabilizing APIs, and cutting technical debt. I deliver end-to-end SaaS MVPs too: admin flows, auth, billing, deployment.
𝗪𝗵𝗮𝘁 𝗜 𝗯𝘂𝗶𝗹𝗱:
🟢 AI & LLM features — agents, RAG, OpenAI, Claude, LangChain, LangGraph
🟢 Multi-agent systems and workflow automation (Celery, Redis)
🟢 SaaS backends and MVPs (Django / DRF, FastAPI)
🟢 REST APIs, webhooks, and third-party integrations
🟢 Admin panels, authentication, roles & permissions
🟢 Refactoring & scaling legacy Python / Django systems
🟢 Docker-based deployment, AWS, and CI/CD
𝗖𝗹𝗶𝗲𝗻𝘁𝘀 𝗵𝗶𝗿𝗲 𝗺𝗲 𝘁𝗼:
🟢 Add AI / LLM functionality to an existing platform
🟢 Build an AI-first product — agents, assistants, RAG over their own data
🟢 Launch the backend for a new SaaS product
🟢 Stabilize and scale an existing Django application
🟢 Build APIs and integrations that scale reliably
🟢 Automate manual business workflows
🟢 Get senior-level execution without unnecessary complexity
𝗘𝘅𝗽𝗲𝗿𝗶𝗲𝗻𝗰𝗲:
Over 10+ years I've shipped products across SaaS, fintech, healthcare, education, and internal business tools. I build modular, well-structured systems that stay easy to extend as your product grows — especially strong in API-heavy platforms, async workflows, and third-party integrations.
𝗖𝗼𝗿𝗲 𝘀𝘁𝗮𝗰𝗸:
Python · Django · Django REST Framework (DRF) · FastAPI · PostgreSQL · MySQL · Celery · Redis · Docker · AWS · GitLab CI/CD · REST APIs · Webhooks · Stripe · Twilio · OpenAI · Claude · LangChain · LangGraph · React
𝗛𝗼𝘄 𝘄𝗲 𝘀𝘁𝗮𝗿𝘁:
For projects where the scope needs validation, I offer a paid discovery phase — a practical way to align on architecture, priorities, and a delivery plan before a larger engagement. You leave with a clear roadmap, fixed next steps, and no guesswork.
If you need a solid Python/Django backend, clean REST APIs, AI integrations, and senior-level execution with clear communication, send me a message — I'll reply with honest feedback on your project.
Steps for completing your project
After purchasing the project, send requirements so Stanislav can start the project.
Delivery time starts when Stanislav receives requirements from you.
Stanislav works on your project following the steps below.
Revisions may occur after the delivery date.
Kickoff — repo access and your list of bad answers
Review chunking, embeddings and retrieval settings