You will get audit for your ai model for eu ai act compliance
Project details
Stop letting regulatory uncertainty stall your AI innovation. The EU AI Act is here.
Deploying "Black Box" models in high-risk sectors like FinTech is now a massive legal liability. Regulators demand to know exactly how your AI makes decisions. Without a transparent governance layer, you risk severe fines, algorithmic bias, and loss of user trust.
I will transform opaque machine learning into transparent, auditable, and legally compliant systems. I architect the automated defense infrastructure your business needs to scale safely and prove fair decision-making to auditors and stakeholders.
My Core Deliverables:
Compliance Gap Analysis: Evaluating your architecture against EU AI Act & ISO 42001 requirements.
Bias Auditing: Rigorous testing using Fairlearn to detect and mitigate systemic bias in your datasets.
Explainable AI (XAI): Implementing SHAP & LIME wrappers for complex neural networks, Random Forests, and XGBoost models to generate human-readable logic.
Agentic Governance: Deploying CrewAI multi-agent workflows to monitor real-time data drift and log tamper-proof audits.
Don't leave compliance to chance. Message me before ordering!
Deploying "Black Box" models in high-risk sectors like FinTech is now a massive legal liability. Regulators demand to know exactly how your AI makes decisions. Without a transparent governance layer, you risk severe fines, algorithmic bias, and loss of user trust.
I will transform opaque machine learning into transparent, auditable, and legally compliant systems. I architect the automated defense infrastructure your business needs to scale safely and prove fair decision-making to auditors and stakeholders.
My Core Deliverables:
Compliance Gap Analysis: Evaluating your architecture against EU AI Act & ISO 42001 requirements.
Bias Auditing: Rigorous testing using Fairlearn to detect and mitigate systemic bias in your datasets.
Explainable AI (XAI): Implementing SHAP & LIME wrappers for complex neural networks, Random Forests, and XGBoost models to generate human-readable logic.
Agentic Governance: Deploying CrewAI multi-agent workflows to monitor real-time data drift and log tamper-proof audits.
Don't leave compliance to chance. Message me before ordering!
AI Development Type
Knowledge Representation, Software MaintenanceAI Development Language
PythonWhat's included
| Service Tiers |
Starter
$150
|
Standard
$1,200
|
Advanced
$3,500
|
|---|---|---|---|
| Delivery Time | 4 days | 10 days | 21 days |
Number of Revisions | 0 | 0 | 0 |
AI Model Integration | - | - | - |
Detailed Code Comments | |||
Knowledge Graph | |||
Model Documentation | |||
Ontology | - | - | - |
Source Code | - | - | - |
Taxonomy | - | - | - |
Frequently asked questions
About Muhammad
Senior AI Engineer | ML Architect for Fintech & SaaS | Cyber AI
Lahore, Pakistan - 12:06 pm local time
I am a Machine Learning Engineer and Technical Partner for Fintech and SaaS founders. I specialize in bridging the gap between complex AI architecture and real-world business ROI. Whether you are navigating EU AI Act compliance, building a high-frequency fraud detection system, or automating SaaS supply chains, I deliver secure, scalable Python solutions.
Why Me?
I don't just "write code." I backtrack to ensure your logic is sound, scale the architecture for growth, and ensure your ML pipelines are secure and revenue-driven. With a proven track record of delivering high-stakes AI solutions for international clients, I focus on:
Core Expertise:
- Fintech & Finance: Robust Credit Scoring, Loan Approval logic, and Real-time Fraud Detection.
- SaaS & Business Logic: AI-driven Inventory Management and Supply Chain Optimization.
- AI Governance & Ethics: Auditing models for EU AI Act compliance, bias mitigation, and transparency.
- Advanced Data Engineering: Synthetic data generation for privacy-compliant training and imbalanced dataset handling.
Technical Stack
Core: Python (Scikit-learn, XGBoost, CatBoost, Pandas, NumPy).
Generative AI: LLM integration, LangChain, RAG frameworks.
Deep Learning: PyTorch, TensorFlow, Keras.
Deployment: Docker, Flask/FastAPI, Cloud Integration.
Ready to turn your data into a competitive advantage? Contact now to discuss your project. I’m happy to hop on a quick discovery call to see how we can optimize your architecture.
Steps for completing your project
After purchasing the project, send requirements so Muhammad can start the project.
Delivery time starts when Muhammad receives requirements from you.
Muhammad works on your project following the steps below.
Revisions may occur after the delivery date.
AI Compliance