You will get End-to-End Data Pipelines and Machine Learning Solutions
Project details
I will design and implement custom data pipelines and machine learning workflows tailored to your business needs. Whether you need automated ETL/ELT processes, model training and validation, or deployment-ready ML pipelines, I ensure scalability, efficiency, and clean architecture. With experience across tools like Airflow, Pandas, Scikit-learn, Spark, and cloud platforms, I deliver solutions that turn raw data into real insights. My work is focused on automation, performance, and long-term maintainability.
Machine Learning Tools
Apache Spark, Deeplearning4j, GitHub Copilot, MATLAB, MLflow, Open Neural Network Exchange, pandas, Python, Python Scikit-Learn, scikit-learn, SciPy, SQL, Tableau, TensorFlowWhat's included
| Service Tiers |
Starter
$190
|
Standard
$430
|
Advanced
$800
|
|---|---|---|---|
| Delivery Time | 3 days | 5 days | 7 days |
Number of Revisions | 1 | 2 | 3 |
Number of Model Variations | 0 | 1 | 2 |
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.
Fast Delivery
+$50 - $200
Additional Revision
+$30
Additional Model Variation
(+ 2 Days)
+$40
Additional Scenario
(+ 3 Days)
+$100
Additional Graph/Chart
(+ 2 Days)
+$50
Model Validation/Testing
(+ 2 Days)
+$100
Model Documentation
(+ 2 Days)
+$150Frequently asked questions
About Abdelhamid
Full-Stack AI Engineer | SaaS, LLMs & AI Applications
Barcelona, Spain - 2:57 pm local time
I work across the entire stack—from polished, high-performance frontends to backend architecture, APIs, databases, data pipelines, cloud infrastructure, and LLM integrations. Whether you’re building an MVP from scratch, adding AI capabilities to an existing product, or scaling a SaaS platform, I can take ownership of the technical implementation and turn requirements into a reliable product.
**What I can help you build:**
• Full-stack SaaS platforms and MVPs
• AI-powered applications and LLM integrations
• RAG, AI agents, structured outputs, and AI workflows
• Modern, responsive frontend applications
• Scalable backend systems, APIs, and integrations
• Data-intensive applications and analytics features
• PostgreSQL database design and optimization
• Cloud deployments and production infrastructure
**Core stack:**
TypeScript • Next.js • React • Node.js • Python • PostgreSQL • SQL • REST APIs • GraphQL • Tailwind CSS • Docker • AWS
On the data side, I’m comfortable working with Python, Pandas, NumPy, advanced SQL, data processing, analysis, and visualization—particularly when data needs to become part of a real product rather than remain in isolated notebooks.
For AI projects, I focus on practical integration: connecting LLMs to real application data and workflows, designing reliable AI features, and building the surrounding backend and frontend systems required to make them useful in production.
I care about clean architecture, maintainable code, performance, and building systems that can evolve as the product grows.
If you need an engineer who can understand the full product—not just one isolated piece of the stack—I’d be happy to discuss what you’re building.
Steps for completing your project
After purchasing the project, send requirements so Abdelhamid can start the project.
Delivery time starts when Abdelhamid receives requirements from you.
Abdelhamid works on your project following the steps below.
Revisions may occur after the delivery date.
Review client requirements and data sources
Design pipeline architecture and ML workflow