You will get Custom AI Automation & Machine Learning System
Rising Talent
Rising Talent
Project details
You will get a custom AI automation system built by an experienced AI developer and Python developer specializing in machine learning solutions.
We design and implement scalable AI automation pipelines that solve real business problems – from predictive machine learning models to data-driven workflow automation.
Unlike basic scripts or chatbot setups, this service focuses on full AI system architecture, clean backend logic, and production-ready deployment.
As a data scientist–driven team, we work with structured and unstructured data, build ML models using Python, TensorFlow, PyTorch, and integrate APIs, databases, and internal tools.
This project is ideal for companies that need reliable AI automation, custom machine learning systems, or advanced backend intelligence – not experimental prototypes.
If you are looking for a serious AI developer who understands business logic, scalability, and real-world deployment, this catalog is built for you.
We design and implement scalable AI automation pipelines that solve real business problems – from predictive machine learning models to data-driven workflow automation.
Unlike basic scripts or chatbot setups, this service focuses on full AI system architecture, clean backend logic, and production-ready deployment.
As a data scientist–driven team, we work with structured and unstructured data, build ML models using Python, TensorFlow, PyTorch, and integrate APIs, databases, and internal tools.
This project is ideal for companies that need reliable AI automation, custom machine learning systems, or advanced backend intelligence – not experimental prototypes.
If you are looking for a serious AI developer who understands business logic, scalability, and real-world deployment, this catalog is built for you.
Machine Learning Tools
ChatGPT, GPT-3, Kubeflow, MLflow, NLTK, NumPy, OpenCV, pandas, Python, PyTorch, scikit-learn, SQL, TensorFlow, XGBoostWhat's included
| Service Tiers |
Starter
$1,500
|
Standard
$2,800
|
Advanced
$4,500
|
|---|---|---|---|
| Delivery Time | 7 days | 14 days | 21 days |
Number of Revisions | 1 | 2 | 3 |
Number of Model Variations | 1 | 2 | 3 |
Number of Scenarios | 1 | 2 | 3 |
Number of Graphs/Charts | 1 | 2 | 3 |
Model Validation/Testing | |||
Model Documentation | - | ||
Data Source Connectivity | - | ||
Source Code |
Optional add-ons
You can add these on the next page.
Extra ML Model
(+ 3 Days)
+$350
API Integration
(+ 2 Days)
+$250
Ongoing AI Support (Monthly)
+$600Frequently asked questions
About Kyrylo
AI Developer | AI Automation Architect | Machine Learning Systems
Kyiv, Ukraine - 2:51 pm local time
That’s exactly where I work as an AI developer.
I build structured systems powered by machine learning that 𝗿𝗲𝗱𝘂𝗰𝗲 𝗺𝗮𝗻𝘂𝗮𝗹 𝘄𝗼𝗿𝗸, improve prioritization, and make operations predictable. No experimental chaos. No AI just for presentation. 𝗥𝗲𝗮𝗹 𝘀𝘆𝘀𝘁𝗲𝗺𝘀 𝘁𝗵𝗮𝘁 𝘀𝘂𝗽𝗽𝗼𝗿𝘁 𝗱𝗮𝗶𝗹𝘆 𝗯𝘂𝘀𝗶𝗻𝗲𝘀𝘀 𝗮𝗰𝘁𝗶𝘃𝗶𝘁𝘆 𝗮𝗻𝗱 𝘀𝗰𝗮𝗹𝗲 𝗼𝘃𝗲𝗿 𝘁𝗶𝗺𝗲.
My background combines the mindset of a data scientist, the technical depth of a python developer, and the integration skills of a web developer. This means I don’t just train models. 𝗜 𝗱𝗲𝘀𝗶𝗴𝗻 𝘁𝗵𝗲 𝗳𝘂𝗹𝗹 𝗶𝗻𝗳𝗿𝗮𝘀𝘁𝗿𝘂𝗰𝘁𝘂𝗿𝗲 𝗮𝗿𝗼𝘂𝗻𝗱 𝘁𝗵𝗲𝗺.
➖➖➖➖➖➖➖➖
As an AI developer, I design and implement:
📎 end-to-end AI automation systems
📎 predictive analytics models
📎 lead scoring engines
📎 recommendation systems
📎 behavioral segmentation using machine learning
📎 classification and clustering pipelines
📎 churn prediction and forecasting models
📎 intelligent backend decision systems
𝗘𝘃𝗲𝗿𝘆 𝗽𝗿𝗼𝗷𝗲𝗰𝘁 𝗯𝗲𝗴𝗶𝗻𝘀 𝘄𝗶𝘁𝗵 𝗰𝗹𝗮𝗿𝗶𝘁𝘆.
What exactly are we improving?
Speed? Accuracy? Lead quality? Operational cost?
Once the objective is defined, the system architecture becomes clear.
➖➖➖➖➖➖➖➖
I implement machine learning only when it improves a measurable outcome.
With a structured data scientist approach, I focus on:
📎 clean and usable datasets
📎 feature engineering
📎 model training and evaluation
📎 performance metrics like precision, recall and AUC
📎 stable production deployment
Whether it’s fraud detection, demand forecasting, customer segmentation, or scoring logic, the goal is reliability and long-term value.
𝗖𝗼𝗺𝗽𝗹𝗲𝘅𝗶𝘁𝘆 𝗶𝘀 𝗻𝗲𝘃𝗲𝗿 𝗮𝗱𝗱𝗲𝗱 𝗳𝗼𝗿 𝗱𝗲𝗰𝗼𝗿𝗮𝘁𝗶𝗼𝗻.
➖➖➖➖➖➖➖➖
One of the 𝗺𝗼𝘀𝘁 𝗶𝗺𝗽𝗮𝗰𝘁𝗳𝘂𝗹 applications I build is AI lead generation.
Instead of manually filtering prospects, I design systems that:
📎 collect and structure incoming data
📎 automatically enrich profiles
📎 score leads using machine learning
📎 prioritize and route based on probability
📎 continuously improve from real feedback
A well-designed AI lead generation system 𝗶𝗻𝗰𝗿𝗲𝗮𝘀𝗲𝘀 𝗲𝗳𝗳𝗶𝗰𝗶𝗲𝗻𝗰𝘆 𝘄𝗶𝘁𝗵𝗼𝘂𝘁 𝗶𝗻𝗰𝗿𝗲𝗮𝘀𝗶𝗻𝗴 𝗵𝗲𝗮𝗱𝗰𝗼𝘂𝗻𝘁.
Your team focuses on high-intent prospects. The system handles the rest.
➖➖➖➖➖➖➖➖
For companies investing in paid traffic or organic campaigns, I build social media marketing automation systems that connect campaign signals to intelligent backend logic.
𝗜𝗻𝘀𝘁𝗲𝗮𝗱 𝗼𝗳 𝘄𝗮𝘁𝗰𝗵𝗶𝗻𝗴 𝗱𝗮𝘀𝗵𝗯𝗼𝗮𝗿𝗱𝘀, 𝘆𝗼𝘂𝗿 𝘀𝘆𝘀𝘁𝗲𝗺 𝗰𝗮𝗻:
📎 update predictive lead scores
📎 trigger automated follow-ups
📎 segment audiences dynamically
📎 adjust prioritization rules
📎 feed performance data back into models
Effective social media marketing automation connects marketing activity directly to revenue decisions.
Automation should feel quiet and reliable. 𝗜𝘁 𝘀𝗵𝗼𝘂𝗹𝗱 𝘀𝘂𝗽𝗽𝗼𝗿𝘁 𝘆𝗼𝘂𝗿 𝘁𝗲𝗮𝗺, 𝗻𝗼𝘁 𝗼𝘃𝗲𝗿𝘄𝗵𝗲𝗹𝗺 𝗶𝘁.
➖➖➖➖➖➖➖➖
As a python developer, I build:
📎 backend APIs
📎 structured database architecture
📎 scalable AI pipelines
📎 cloud-ready deployment systems
📎 data processing workflows
As a web developer, I create dashboards and internal tools that allow your team to interact with AI systems clearly and confidently.
You are not hiring someone to “add AI features.” You are working with an AI developer who builds infrastructure around machine learning models and automation logic.
➖➖➖➖➖➖➖➖
How I Work
📎 define the real business objective
📎 structure the data
📎 design system architecture
📎 implement clean backend logic
📎 deploy, monitor, and improve
𝗖𝗹𝗲𝗮𝗿 𝘁𝗵𝗶𝗻𝗸𝗶𝗻𝗴. 𝗖𝗹𝗲𝗮𝗻 𝗶𝗺𝗽𝗹𝗲𝗺𝗲𝗻𝘁𝗮𝘁𝗶𝗼𝗻. 𝗥𝗲𝗮𝗹𝗶𝘀𝘁𝗶𝗰 𝗲𝘅𝗽𝗲𝗰𝘁𝗮𝘁𝗶𝗼𝗻𝘀.
If you’re looking for an AI developer with strong machine learning expertise, a structured data scientist mindset, backend strength as a python developer, and integration skills as a web developer, we can build something solid and scalable.
Tell me what feels manual, inefficient, or unclear, and 𝗜’𝗹𝗹 𝗱𝗲𝘀𝗶𝗴𝗻 𝘁𝗵𝗲 𝗿𝗶𝗴𝗵𝘁 𝘀𝘆𝘀𝘁𝗲𝗺 𝗮𝗿𝗼𝘂𝗻𝗱 𝗶𝘁.
Steps for completing your project
After purchasing the project, send requirements so Kyrylo can start the project.
Delivery time starts when Kyrylo receives requirements from you.
Kyrylo works on your project following the steps below.
Revisions may occur after the delivery date.
Discovery & Technical Analysis
We review business logic, data sources, and automation goals.
System Architecture Design
Define ML pipeline, integrations, and deployment strategy.