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I will build machine learning models, python ai apps, and data pipelines
Mobeen Fatima
Acerca de este Servicio
Are you looking to build end-to-end Machine Learning solutions, AI web applications, or scalable data pipelines? You are in the right place!
I specialize in developing high-performing Machine Learning models, Computer Vision systems, NLP pipelines, and full-stack AI web applications using Python, PyTorch, Flask, React, and Tailwind CSS.
What I Offer:
- Custom ML Models: Classification, regression, object detection (YOLO), and fine-tuned models (MobileNet, PyTorch).
- AI Application Development: Full-stack AI web applications integrated with REST APIs (Gemini, Open-Meteo).
- Data Engineering & Analysis: Synthetic dataset generation, automated validation suites, data cleaning, and preprocessing with Pandas, Polars, and NumPy.
- NLP & Vector Search: TF-IDF, text analysis, and Retrieval-Augmented Generation (RAG) implementation.
Why Choose Me?
- Production-ready, clean, and fully documented code.
- Scalable data pipelines and robust error handling.
- Timely delivery with clear communication throughout the project.
Please message me before placing an order so we can discuss your specific project requirements!
Conoce a Mobeen Fatima
Mobeen Fatima
Data Analyst, ML Specialist, Synthetic Data and AI Apps
- DePakistán
- Miembro desdeago 2026
Idiomas
Punjabí, Urdu, Inglés
I am a Data Analyst and Machine Learning Specialist engineering end-to-end predictive models, synthetic data pipelines, and intelligent web applications.
What I offer:
Machine Learning & AI: Computer vision, NLP, custom PyTorch models, and RAG architectures.
Data Engineering: Large-scale synthetic data generation, automated validation, and analytics with Pandas, Polars, and NumPy.
Full-Stack AI Integration: Interactive dashboards and web apps built using Python, Flask, React, and Tailwind CSS.
I deliver clean, efficient, and well-documented code tailored to your exact business needs.
Mi porfolio
FAQ
What programming languages and frameworks do you use?
Primary tools include Python, PyTorch, Scikit-learn, Pandas, Flask, React, and Tailwind CSS.
Do you provide complete source code with the project?
Yes, all packages include fully documented source code, requirements files, and setup instructions.
Can you integrate trained machine learning models into existing web apps?
Yes, models can be integrated via REST APIs built with Flask, FastAPI, or custom backends.
What dataset formats do you accept for training or analysis?
CSV, JSON, Excel, SQL, and image directories (PNG, JPG) for computer vision tasks.
Can you deploy the application to a cloud host?
Yes, deployment setup for Vercel, Hugging Face Spaces, or custom cloud servers can be included.
What happens if the requirements change after placing an order?
Minor adjustments are covered under included revisions, while major scope changes can be added as a custom order extra.
Will I need to provide my own API keys for third-party services?
Yes, external APIs (like Google Gemini) require your own key, though guidance on key creation and secure configuration is provided.
