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You will get a custom AI model to solve your unique business challenge
Rising Talent
Rising Talent
Project details
I will deploy the chatbot to your platform and provide post-launch support, including performance monitoring and updates based on user feedback.
AI Algorithms
AdaBoost, Autoencoder, Convolutional Neural Network, Feedforward Neural Network, Generative Adversarial Network, Large Language Model, Linear Discriminant Analysis, Long Short-Term Memory Network, Regression Analysis, YOLOAI Applications
AI Chatbot, AI Mobile App Development, AI Text-to-Speech, AI-Generated Code, Anomaly Detection, Automatic Speech Recognition, Conversational AI, Facial Recognition, Image Recognition, Object Detection, Text Recognition, Time Series AnalysisAI Development Language
PythonAI Tools
Azure OpenAI, GitHub Copilot, Hugging Face, Microsoft CNTK, NVIDIA AI Platform, PyTorch, TensorFlowAI Models
BERT, ChatGPT, GPT-3, GPT-4, GPT-Neo, LaMDA, LLaMA, Naive Bayes Classifier, WhisperWhat's included $850
These options are included with the project scope.
$850
- Delivery Time 19 days
- Number of Revisions 5
- AI Model Integration
- Batch Normalization
- Database Integration
- MLOps
- Model Deployment
- Model Documentation
- Model Monitoring
- Model Testing & Optimization
- Model Tuning
- Natural Language Processing
- NLP Tokenization
- Pre-Training
- Prompt Engineering
- Source Code
Optional add-ons
You can add these on the next page.
Fast 10 Days Delivery
+$200
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About Aboumajd
Senior MLOps & FinOps Architect | Azure ML & Databricks Expert
100%
Job Success
Casablanca, Morocco - 7:07 am local time
I am not just a model developer. I am an experienced Cloud Architect who designs, audits, and optimizes enterprise-grade AI platforms to maximize performance while cutting your Azure bills in half.
Here are my 4 pillars of expertise:
💰 1. FinOps & Cloud Cost Optimization (AI/ML)
AI compute (especially GPU/CPU clusters) can easily destroy a company's budget. I audit your existing architecture and implement aggressive FinOps strategies:
• Configuring aggressive auto-scaling and auto-shutdown compute profiles.
• Using Azure Spot VMs for heavy model training pipelines (saving up to 90%).
• Optimizing Azure Databricks clusters (Single-node for dev, exact worker sizing) to eliminate idle resource waste.
• Consultation & Audit: Show me your architecture and Azure bill, and I will tell you exactly what to change to cut costs within 20 minutes.
⚡ 2. Advanced Azure Databricks Engineering
I step in where Spark jobs fail with OOM (Out Of Memory) errors. I fix Data Skew problems using Salting, Broadcast Hints, and custom partitioning on Azure Databricks. If your Spark job takes 3 hours, I will find the bottleneck in the Spark UI in 20 minutes and optimize your cluster costs.
🔒 3. Secure MLOps Architecture & Zero Trust
I deploy Azure Machine Learning and Databricks environments that pass the strictest corporate security and compliance audits.
• Custom VNet Architectures: Hub-and-Spoke topologies, strict subnet isolation (Training/Scoring), locked-down Route Tables (UDR), and Azure Firewall integration to prevent data exfiltration.
• Managed Network Isolation: Fast deployment using "Approved Outbound" mode with FQDNs, Service Tags, and Managed Private Endpoints to keep Data Scientists productive without opening security gaps.
🛠️ 4. CI/CD Automation & AI Lifecycle (LLMOps)
End-to-end industrialization of the ML lifecycle: experiment tracking with MLflow, deploying inference APIs on managed endpoints or AKS (Azure Kubernetes Service) clusters, data drift monitoring with Evidently, and fully automated pipelines via GitHub Actions and Terraform. Your models will never break in silence.
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HOW WE CAN WORK TOGETHER:
🚀 Architecture Advisory: Audit of your network/data design and step-by-step remediation plan.
📉 FinOps Commando Mission: Deep dive into your Azure bill and immediate cost reduction.
🏗️ End-to-End Implementation: Building your secure MLOps infrastructure from scratch (Infrastructure as Code).
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CERTIFICATIONS:
🏅 Operationalizing Machine Learning and Generative AI Solutions (AI-300)
🏅 Azure Databricks Data Engineer (DP-750)
🏅 Azure Fabric Data Engineer (DP-700)
• In progress: Azure Solutions Architect Expert (AZ-305)
TECHNICAL STACK:
Azure ML · Azure Databricks · PySpark · Delta Lake · Apache Kafka · Airflow · MLflow · Terraform · GitHub Actions · Docker · AKS · FastAPI · Azure Cost Management
Message me with your problem (or send a screenshot of your current architecture/cloud bill).
I'll tell you in 10 minutes if I can solve it and how much money I can save you.
Steps for completing your project
After purchasing the project, send requirements so Aboumajd can start the project.
Delivery time starts when Aboumajd receives requirements from you.
Aboumajd works on your project following the steps below.
Revisions may occur after the delivery date.
Requirements Gathering
I will work with you to define the chatbot’s purpose, target audience, and functionality. This includes clarifying use cases, tone of voice, and the platform where the chatbot will be deployed (e.g., website, messaging apps).