You will get I will build a Python data pipeline with LLM processing
Project details
I will build a clean and reliable Python-based data processing pipeline with LLM integration to transform raw or messy data into structured, usable output. The system can collect data from APIs, files, or web sources, apply cleaning and normalization, and use LLMs such as OpenAI or Claude for classification, extraction, or enrichment tasks.
The pipeline is designed to handle inconsistent data, apply prompt-based logic, and return structured results in JSON, CSV, or database-ready formats. I focus on building practical, maintainable solutions with clear logic, proper error handling, and logging so the system can run consistently.
With 10+ years of experience and a PhD in Machine Learning, I deliver solutions that are not overengineered but built to work reliably in real use cases.
The pipeline is designed to handle inconsistent data, apply prompt-based logic, and return structured results in JSON, CSV, or database-ready formats. I focus on building practical, maintainable solutions with clear logic, proper error handling, and logging so the system can run consistently.
With 10+ years of experience and a PhD in Machine Learning, I deliver solutions that are not overengineered but built to work reliably in real use cases.
Machine Learning Tools
ChatGPT, Deeplearning4j, GPT-3, MLflow, NLTK, NumPy, OpenCV, pandas, Python, Python Scikit-Learn, PyTorch, SciPy, Sonnet, SQL, TensorFlow, Theano, Weka, XGBoostWhat's included
| Service Tiers |
Starter
$249
|
Standard
$599
|
Advanced
$1,199
|
|---|---|---|---|
| Delivery Time | 3 days | 5 days | 7 days |
Number of Revisions | 1 | 2 | 3 |
Number of Model Variations | 1 | 2 | 3 |
Number of Scenarios | 1 | 2 | 3 |
Number of Graphs/Charts | 0 | 0 | 6 |
Model Validation/Testing | |||
Model Documentation | - | ||
Data Source Connectivity | |||
Source Code |
Optional add-ons
You can add these on the next page.
Additional Revision
+$30
Additional Model Variation
(+ 1 Day)
+$100
Additional Scenario
(+ 1 Day)
+$20
Additional Graph/Chart
(+ 1 Day)
+$20
Model Documentation
(+ 2 Days)
+$50Frequently asked questions
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MA
Muhammad Naveed A.
Jan 17, 2026
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ZH
Zsolt H.
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About Mirza Anas
PhD in Machine Learning | LLMs | Agentic AI | RL | Multimodal AI
100%
Job Success
Montreal, Canada - 12:13 am local time
My core expertise includes Large Language Models (LLMs), AI agents, agentic AI, reinforcement learning, multimodal AI, NLP, deep learning, model fine-tuning, prompt engineering, retrieval-augmented generation (RAG), machine learning pipelines, and AI research. I help businesses, startups, and research teams design and build AI solutions that are practical, scalable, and aligned with real-world needs.
I can support projects across the full AI lifecycle, including LLM application development, AI chatbot systems, autonomous AI agents, custom machine learning models, reinforcement learning systems, multimodal AI solutions, document intelligence, recommendation systems, model evaluation, and performance optimization.
With a strong research background, industry experience, and startup leadership, I bring both technical depth and practical execution to every project. Whether you need an AI researcher, machine learning engineer, LLM expert, or AI consultant, I focus on delivering reliable, high-quality solutions that create measurable value.
Steps for completing your project
After purchasing the project, send requirements so Mirza Anas can start the project.
Delivery time starts when Mirza Anas receives requirements from you.
Mirza Anas works on your project following the steps below.
Revisions may occur after the delivery date.
Requirement Understanding
Review your data source, use case, and expected output format.
Pipeline Design
Design the workflow for data ingestion, cleaning, LLM processing, and output structure.