You will get Building and Training a ML Model with TensorFlow
Top Rated
Project details
My services includes:
1. Data Cleaning and Optimization (CleanLab, Argilla): Experienced in using Python, R, and Colab for cleaning, preprocessing, and optimizing datasets to ensure high-quality data for analysis.
2. Hugging Face Transformers: Expertise in implementing state-of-the-art NLP/NLI models for various tasks such as text classification, named entity recognition, and machine translation.
3. Time Series Analysis: Skilled in analyzing and forecasting time-dependent data to uncover trends, seasonal patterns, and long-term movements.
4. Microsoft Excel Pivot Tables: Proficient in creating dynamic summaries and graphical representations of data for easy interpretation and reporting.
1. Data Cleaning and Optimization (CleanLab, Argilla): Experienced in using Python, R, and Colab for cleaning, preprocessing, and optimizing datasets to ensure high-quality data for analysis.
2. Hugging Face Transformers: Expertise in implementing state-of-the-art NLP/NLI models for various tasks such as text classification, named entity recognition, and machine translation.
3. Time Series Analysis: Skilled in analyzing and forecasting time-dependent data to uncover trends, seasonal patterns, and long-term movements.
4. Microsoft Excel Pivot Tables: Proficient in creating dynamic summaries and graphical representations of data for easy interpretation and reporting.
Machine Learning Tools
NumPy, pandas, Python, Python Scikit-Learn, TensorFlowWhat's included
| Service Tiers |
Starter
$15
|
Standard
$25
|
Advanced
$50
|
|---|---|---|---|
| Delivery Time | 1 day | 2 days | 4 days |
Number of Revisions | 2 | 3 | 5 |
Number of Model Variations | 1 | 1 | 3 |
Number of Scenarios | 1 | 1 | 2 |
Number of Graphs/Charts | 2 | 3 | 8 |
Model Validation/Testing | |||
Model Documentation | - | ||
Data Source Connectivity | - | - | |
Source Code |
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About Aqib
Machine Learning Engineer | NLP, Computer Vision & Python Automation
100%
Job Success
Khanpur, Pakistan - 9:25 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.
Data Cleaning and Optimization
Use Python, R, and Colab for cleaning, preprocessing, and optimizing datasets to ensure high-quality data for analysis
Training and Building ML Models
I will train and build your model using tensorflow.