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You will get Custom AI Solutions & Automation That Scale

Igor S.Status: Offline
Igor S. Igor S.
5.0
Top Rated
Preview image

Let a pro handle the details

Buy Other AI & Machine Learning services from Igor, priced and ready to go.
Igor S.Status: Offline
Igor S. Igor S.
5.0
Top Rated
Preview image

Let a pro handle the details

Buy Other AI & Machine Learning services from Igor, priced and ready to go.

Project details

You will get a premium Custom AI Solutions & Automation service that transforms your business operations and scales with your growth. With our enterprise-level expertise and a team of seasoned professionals, we design and implement tailored AI models that integrate seamlessly with your existing systems. Our solutions are built to deliver enhanced efficiency, robust performance, and measurable results, ensuring that your business remains at the forefront of innovation. We combine deep technical knowledge with a strategic, data-driven approach to provide solutions that are as unique as your business.
AI Development Type
Deep Learning, Knowledge Representation, Model Tuning, Recommendation System
AI Tools
Amazon SageMaker, Apache MXNet, Azure Machine Learning, Google AutoML, Keras, MLflow, Open Neural Network Exchange, OpenCV, PyTorch, TensorFlow
AI Development Language
Python
What's included
Service Tiers Starter
$7,500
Standard
$10,000
Advanced
$15,000
Delivery Time 7 days 10 days 20 days
AI Model Integration
Detailed Code Comments
Knowledge Graph
-
Model Documentation
Ontology
-
-
Source Code
Taxonomy
-
-

Frequently asked questions

5.0
12 reviews
100% Complete
(12)
1% Complete
(0)
1% Complete
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1% Complete
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1% Complete
(0)

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Build a Simple MERN Dashboard with CRUD and API Integration Strong work, clear communication, and timely delivery. Would hire again.

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Build a Video Editing Feature For Web Application

DP

Diego P.
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Trial Of 2 days

DK

David K.
5.00
Jul 21, 2021
React developer Great freelancer, smart and fun to work with

DG

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React Web App
Igor S.Status: Offline

About Igor

Igor S.Status: Offline
AI Developer | Machine Learning Engineer | Generative AI & RAG
100% Job Success
5.0  (12 reviews)
Wigan, United Kingdom - 3:42 am local time
I build production AI, Machine Learning, and Data Analytics systems that cut operational costs by 40%, prevent ~$2M in annual fraud losses, and turn messy enterprise data into revenue-driving Business Intelligence. Recent work includes a Machine Learning microservices platform serving 2M+ users and 100M+ daily API requests, a multilingual AI Agent handling 15,000+ daily messages with a 20-point NPS lift, and a RAG-powered AI Chatbot embedded in production web apps that drove a 42% conversion rate increase.

I work end-to-end across Generative AI, LLM Engineering, AI Agent Development, AI Automation, Data Science, Data Engineering, ETL Pipelines, MLOps, and executive Dashboards in Power BI, Tableau, Looker Studio, and Google Analytics 4. The teams I work best with have data and ambition but no roadmap to ship AI in production without breaking compliance, scale, or budget.

What I build:

• GPT and Claude-powered AI Chatbot Development, AI Agent Development, and LLM Integration using OpenAI API, Anthropic Claude API, Google Gemini, LangChain, LlamaIndex, and RAG with Pinecone, Weaviate, and Chroma vector databases
• Machine Learning and Deep Learning models for fraud detection, demand forecasting, customer segmentation, recommendation engines, and NLP
• ETL Pipelines and Data Engineering on Google BigQuery, Snowflake, Databricks, AWS, Azure, and SQL
• Power BI Dashboards, Looker Studio Reports, Tableau Visualizations, and full Google Analytics 4 implementation
• Python Automation, Web Scraping, API Integration, and AI Workflow Automation for scalable business processes

Selected results in AI, Generative AI, and Machine Learning:

• GPT-powered AI Chatbot reduced support tickets 50% in one quarter
• Machine Learning microservices platform serving 2M+ users and 100M+ daily API requests
• Multilingual AI Agent handling 15,000+ daily messages, lifting NPS 20 points
• Deep Learning fraud detection model cut false positives 40%, preventing ~$2M in annual losses
• Predictive inventory AI decreased stockouts 30% and real-time customer segmentation lifted conversion 28%
• NLP-based ticket triage automation improved first-response efficiency 65%
• RAG-powered AI Chatbot embedded in web apps improved conversion 42%
• Real-time AI Call Center Assistant cut average handle time 35% and lifted first-call resolution 22%
• Predictive AI for cell tower failures reduced emergency dispatches and improved network uptime

Selected results in Data Engineering and ETL:

• Migrated Data Engineering stack to Google BigQuery: 60% faster queries, 25% lower storage costs
• Standardized ETL Pipelines for Data Mining and Data Annotation, increasing ML training throughput
• Built feature stores and reproducible MLOps training pipelines that accelerated ML iteration
• Self-correcting Data Analysis pipeline reduced reporting errors 95%
• Python competitive monitoring system mining 150+ sources daily into Google Sheets and BigQuery
• SQL clustering and replication deployed for 99.99% uptime on mission-critical apps

Selected results in Dashboards and Business Intelligence:

• Looker Studio Dashboard suite reduced delivery delays 15%
• Marketing Analytics Dashboards unifying paid media, web, and CRM data in Power BI and Looker Studio
• C-level KPI Dashboard pack (SQL + Google Analytics 4 + Excel) accelerating weekly decisions
• Server-side Google Tag Manager implementation significantly improved GA4 accuracy
• Pricing optimization engines lifted profit margins 17%
• Self-serve Analytics portal with NLQ-powered Power BI reduced ad-hoc requests 55%
• JavaScript bridge syncing legacy Excel models with cloud databases, saving 20 hours per week

Beyond implementation, I run AI Readiness Audits for executive teams that have invested in data infrastructure but not yet seen ROI, identifying high-impact AI Agent Development and Machine Learning opportunities and translating them into a 90-day rollout plan with clear success metrics and risk gates.

Tech stack: Python, SQL, JavaScript, TypeScript, AWS, Google Cloud, Azure, BigQuery, Snowflake, Databricks, dbt, Airflow, Power BI, Tableau, Looker Studio, GA4, Google Tag Manager, Excel, OpenAI API, Anthropic Claude API, Google Gemini, LangChain, LlamaIndex, Hugging Face, TensorFlow, PyTorch, scikit-learn, Machine Learning, Deep Learning, Generative AI, LLM Engineering, MLOps, NLP, ETL Pipelines, Data Mining, Data Annotation, Data Visualization, AI Integration, AI Automation, AI Agent Development, AI Chatbot Development, RAG, and Vector Databases (Pinecone, Weaviate, Chroma).

Share your data sources, target metrics, and timeline. I will reply within 24 hours with a practical rollout plan covering ETL Pipeline through to production AI Integration, plus a short list of risks I see before we start. I work as a strategic partner on production AI and Data systems, not a ticket-taker.

Steps for completing your project

After purchasing the project, send requirements so Igor can start the project.

Delivery time starts when Igor receives requirements from you.

Igor works on your project following the steps below.

Revisions may occur after the delivery date.

Initial Consultation

Kick-off call to discuss project goals, review provided materials, and set expectations for AI integration and automation.

Requirement Analysis & Planning

Analyze your business requirements, current systems, and available data to design a custom AI solution roadmap.

Review the work, release payment, and leave feedback to Igor.