Computer vision
Image classification, object detection and recognition — from dataset preparation to a packaged, deployable model. Example repository →
Custom ML model and
neural network development.
Computer vision, NLP and LLM solutions, forecasting and recommender systems — from brief and metric-backed prototype to production. Quote within 1–2 business days, free and non-binding.
36 projects in a public portfolio · commercial experience since 2019 · contract & NDA
What we build
NLP & LLM solutions
Text processing, AI chatbots, RAG systems and LLM integrations embedded into your product. Example repository →
Forecasting models
Demand, pricing, churn and time series — validated and explained in plain language.
Analytics & recommenders
Segmentation, scoring and recommendation systems built on your data. Example repository →
How the engagement works
1. Brief & fixed quote
You describe the task and the data. We assess feasibility and fix the price, timeline and acceptance criteria — before any work starts.
2. Prototype with metrics
First deliverable is a prototype with measurable quality metrics, so you decide on numbers, not promises.
3. Production & handover
We bring the model to a working state and hand it over: code in Git, run instructions, deployment and support if needed. NDA and private repos on request.
Why SenatorovAI
Engineers who teach ML
The studio operates alongside a Data Science school where machine learning is taught down to the source code. The same engineers build client models.
Verifiable track record
Delivered projects are public on GitHub, and client reviews live on Upwork — tied to paid, completed contracts, so they can't be faked. View our Upwork profile →
Sensible rates
Senior-level engineering at rates well below US and Western European agencies — with transparent delivery through Git and honest metrics.
Describe your task — we reply within a day
Send a short brief to our manager on Telegram and get a quote within 1–2 business days, free and non-binding.