You will get I will build custom Multi-Agent AI systems using Python

Let a pro handle the details

Buy Machine Learning services from Irtika, priced and ready to go.

Let a pro handle the details

Buy Machine Learning services from Irtika, priced and ready to go.

Project details

I build custom, production-ready Multi-Agent AI Systems tailored to your business logic. Using robust Python architectures and advanced agent orchestration, I transform complex, multi-step workflows into autonomous, scalable pipelines. From initial architecture design to Docker and cloud deployment, I ensure seamless communication between specialized agents to automate tasks, analyze data, and drive intelligent decision-making with enterprise-grade reliability.
Machine Learning Tools
Azure Machine Learning, BERT, ChatGPT, GitHub Copilot, Google Sheets, GPT-3, Keras, Microsoft Excel, NLTK, NumPy, OpenCV, pandas, Python, Python Scikit-Learn, PyTorch, scikit-learn, SciPy, SQL, Tableau, TensorFlow, TextBlob, Word2vec, XGBoost
What's included
Service Tiers Starter
$50
Standard
$80
Advanced
$120
Delivery Time 3 days 5 days 5 days
Number of Revisions
122
Number of Model Variations
122
Number of Scenarios
122
Number of Graphs/Charts
133
Model Validation/Testing
Model Documentation
Data Source Connectivity
Source Code
Irtika K.Status: Offline
Irtika K.Status: Offline
AI Systems Architect & Applied ML Engineer | Multi-Agent Systems
London, United Kingdom - 2:14 am local time
Two years of enterprise infrastructure engineering taught me what production-grade actually means. Now I architect robust, end-to-end AI systems—from multi-agent threat detection and SHAP-explainable healthcare models to Transformer-based forecasting pipelines—that solve real problems at scale.

Whether you need custom machine learning models, real-time inference workflows, or clean Python pipelines, I bring a unique combination of rigorous research expertise (MSc in AI with distinction, peer-reviewed publications) and enterprise reliability discipline.

Core Expertise:

Specializations: Multi-Agent Systems, Graph Neural Networks (GNNs), Transformer-based Sequence Modeling, Time-Series Forecasting, and Explainable AI (SHAP).

Tech Stack: Python, PyTorch, TensorFlow, Scikit-learn, Hugging Face, Azure Functions, Docker, Gradio, and SQL.

Background: Production-grade infrastructure, automated pipeline development, and data governance.

Every project is built for clean code quality, seamless cloud deployment, and measurable business impact. Let’s turn your data and challenges into reliable production solutions.

Steps for completing your project

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

Delivery time starts when Irtika receives requirements from you.

Irtika works on your project following the steps below.

Revisions may occur after the delivery date.

Workflow & Agent Design

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