You will get custom machine learning & deep learning models
Project details
I'm a machine learning and deep learning specialist with over 4 years of experience, ready to help you harness the power of AI for your project. I provide a comprehensive range of services, including model training, testing, and evaluation to ensure optimal performance. I also create custom datasets tailored to your specific needs and provide thorough documentation for seamless integration. Whether you're looking to build predictive models, enhance data insights, or deploy cutting-edge AI solutions, I’m here to turn your vision into reality. Let’s connect and discuss how I can support your goals with tailored, high-quality models and exceptional service.
Machine Learning Tools
Keras, NLTK, NumPy, OpenCV, pandas, Python, Python Scikit-Learn, PyTorch, scikit-learn, SciPy, TensorFlow, XGBoostWhat's included
| Service Tiers |
Starter
$25
|
Standard
$50
|
Advanced
$75
|
|---|---|---|---|
| Delivery Time | 2 days | 7 days | 15 days |
Number of Revisions | 1 | 2 | 3 |
Number of Model Variations | 1 | 1 | 1 |
Number of Scenarios | 1 | 1 | 1 |
Number of Graphs/Charts | 1 | 1 | 1 |
Model Validation/Testing | - | ||
Model Documentation | - | - | |
Data Source Connectivity | - | - | |
Source Code |
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WA
Wajid A.
Mar 20, 2025
Project 1 with report
About Humza
Machine Learning Engineer | Computer Vision, NLP & MLOps
Shikarpur, Pakistan - 5:02 am local time
I build and deploy machine learning systems that actually run in production, not notebooks that stop at a trained model. I work with startups, researchers, and businesses to turn data into working, deployed AI.
Computer vision is my core: image classification, object detection with YOLO, semantic and binary segmentation with U-Net, SegNet, and DeepLabV3+, medical imaging and diagnostic models, and explainability with Grad-CAM and saliency methods. I also work in NLP, including transformer-based systems, named entity recognition, multilingual translation, and RNN and LSTM architectures.
Where I add the most value is deployment. A lot of ML work stops at a trained model, but I take it the whole way: training, evaluation, hyperparameter optimization, and shipping to production with AWS SageMaker, Azure, GCP, Docker, ONNX, Django, and FastAPI.
I work in Python, primarily with PyTorch, and also use TensorFlow and scikit-learn. My focus is clean, documented code, honest evaluation, and measurable results, with clear communication throughout.
If you have a project in mind, I would be glad to talk it through.
Steps for completing your project
After purchasing the project, send requirements so Humza can start the project.
Delivery time starts when Humza receives requirements from you.
Humza works on your project following the steps below.
Revisions may occur after the delivery date.
File submission
I submit the files related to the project, to the client.