You will get Develop and Optimize AI Models Using PyTorch Framework
Top Rated
Project details
I will help you build, train, and optimize deep learning models using the PyTorch framework. Whether you need a simple model prototype or a complete AI pipeline, I offer flexible tiers to match your project scope. With clean, well-documented code and performance evaluation, you’ll receive production-ready models tailored to your data and goals. Perfect for academic projects, research experiments, or real-world AI solutions.
Machine Learning Tools
BERT, Keras, NumPy, pandas, Python, Python Scikit-Learn, PyTorch, scikit-learn, SciPy, TensorFlowWhat's included
| Service Tiers |
Starter
$30
|
Standard
$45
|
Advanced
$70
|
|---|---|---|---|
| Delivery Time | 1 day | 2 days | 4 days |
Number of Revisions | 1 | 2 | 3 |
Number of Model Variations | 1 | 2 | 2 |
Number of Scenarios | 2 | 3 | 4 |
Number of Graphs/Charts | 2 | 4 | 5 |
Model Validation/Testing | |||
Model Documentation | |||
Data Source Connectivity | |||
Source Code |
7 reviews
(6)
(1)
(0)
(0)
(0)
This project doesn't have any reviews.
SA
SHAHAD A.
Apr 5, 2026
Dataset Preparation for File-Level Vulnerability Classification on CVEfixes dataset
JC
Jules C.
Nov 20, 2025
Tutoring : how to use the latest Satoh’s Miller’s inversion algorithm on ʙɴ curve with its twist ?
Deliver quicky were many of his peers failed. I definitely will continue to work only with him.
ZC
Zhen Yu C.
Oct 18, 2025
Math Modeling and Technical Solutions
YA
Yasser A.
Oct 16, 2025
R Programming Tutor for Debugging and Statistical Analysis
NS
Nassim S.
Sep 15, 2025
Google Colab Setup & Explainable AI for CDT + Demographics
He is a developer with great skills and understanding.
About Aqib
Machine Learning Engineer | NLP, Computer Vision & Python Automation
100%
Job Success
Khanpur, Pakistan - 9:42 am local time
As an ML Engineer and Data Scientist with a Master’s degree, I specialize in building deterministic, high-performance AI systems. From fine-tuning LLMs and training computer vision models to engineering leakage-aware research datasets, I deliver clean, reproducible, and production-grade code.
Whether you are a startup needing a custom RAG pipeline or an enterprise optimizing massive datasets, I ensure your models perform with mathematical precision.
🚀 CORE CAPABILITIES
• AI Systems, LLMs & Automation
Building robust RAG pipelines, structured data extraction systems, and automated workflows using Gemini, OpenAI, and Claude APIs. Expert in prompting strategies that yield deterministic, enterprise-grade outputs.
• Natural Language Processing (NLP) & Dataset Engineering
Experienced with Hugging Face Transformers for text classification, summarization, and multi-label categorization. Specialized in building leak-aware, balanced training/validation pipelines (e.g., CVEfixes vulnerability dataset parsing).
• Computer Vision & Synthetic Data Generation
Hands-on experience with object detection, image segmentation (U-Net variants), and custom preprocessing. I design synthetic image/video generation pipelines using state-of-the-art tools (Runway, Vidu, Veo, Stable Diffusion) for specialized model training and simulation datasets.
• Machine Learning & Deep Learning (PyTorch & TensorFlow)
End-to-end model development, validation, and optimization using PyTorch, TensorFlow, and Scikit-Learn. Expert at resolving class imbalances, handling massive datasets, and model benchmarking.
• Statistical Modeling & Time Series
Deep mathematical background in optimization, logistic/linear regression, hypothesis testing, and time-series forecasting. Experienced with complex real-world data analysis (e.g., NHANES health prediction models).
• Data Quality & Engineering
Advanced data cleaning and curation using Python, R, CleanLab, and Argilla to isolate and eliminate noise, outliers, and duplicates before they hit your training loop.
🛠️ TECHNICAL TOOLKIT
• Languages: Python, R, Bash, SQL
• AI/ML Frameworks: PyTorch, TensorFlow, Scikit-Learn, Hugging Face
• Data Tools: CleanLab, Argilla, Pandas, NumPy, Excel (Pivot Tables)
• Visualization: R (ggplot2), Python (Matplotlib, Seaborn)
• Generative Media: Veo, Runway, Vidu, Stable Diffusion API
Let’s turn your data into a competitive advantage. Click the "Invite to Job" button to discuss your project requirements!
Steps for completing your project
After purchasing the project, send requirements so Aqib can start the project.
Delivery time starts when Aqib receives requirements from you.
Aqib works on your project following the steps below.
Revisions may occur after the delivery date.
Receive Dataset from client
I will complete the task according to the given guidelines.