You will get Develop Accurate Machine Learning Models
Project details
You will get a powerful, accurate machine learning solution built to analyze and predict real-world data. With over 3 years of experience in image, signal, and environmental data processing, I create efficient models for classification, regression, and forecasting that deliver clear, high-quality results.
Machine Learning Tools
ChatGPT, Keras, MATLAB, NumPy, OpenCV, pandas, Python, Python Scikit-Learn, PyTorch, scikit-learn, SciPy, TensorFlow, Word2vec, XGBoostWhat's included
| Service Tiers |
Starter
$30
|
Standard
$80
|
Advanced
$100
|
|---|---|---|---|
| Delivery Time | 5 days | 10 days | 30 days |
Number of Revisions | 1 | 3 | Unlimited |
Number of Scenarios | 1 | ||
Model Validation/Testing | |||
Model Documentation | - | ||
Data Source Connectivity | - | - | |
Source Code |
Optional add-ons
You can add these on the next page.
Additional Model Variation
(+ 3 Days)
+$10
Additional Scenario
(+ 3 Days)
+$20
Model Documentation
(+ 3 Days)
+$20About Hesam
AI & Django Engineer | Computer Vision, ML & MLOps
Douliu, Taiwan - 4:41 am local time
My strongest areas include:
• AI-powered web applications and SaaS products
• Django and Django REST Framework backends
• Secure APIs, PostgreSQL databases, Celery, Redis, and Docker
• Computer vision, image classification, and object detection
• Machine learning model evaluation and error analysis
• MLOps, experiment tracking, benchmark design, and deployment validation
• Predictive modeling, feature engineering, and explainable results
Selected experience:
• 5+ years of experience across machine learning, applied AI, data science, and software development
• Built production computer vision workflows and MLflow-based model evaluation pipelines
• Contributed to a manufacturing workflow that reduced a full production cycle from 7 hours to 3 hours
• Developed healthcare AI models that achieved 83.3–86.3% accuracy and 94.8% recall
I can help you:
• Build an AI-enabled Django MVP
• Design a secure REST API and database architecture
• Add AI capabilities to an existing web application
• Turn a notebook or model prototype into a tested application
• Audit and improve a machine learning or computer vision pipeline
• Build dashboards, business workflows, and automation systems
• Prepare an application for deployment using Docker
My work emphasizes:
• Clean and maintainable code
• Meaningful automated tests
• Documented APIs and architecture
• Measurable acceptance criteria
• Reproducible machine learning experiments
• Clear and consistent communication
Send me your current requirements, dataset, workflow, or prototype. I will help you define a practical architecture, realistic milestones, and the best path to a reliable final product.
Steps for completing your project
After purchasing the project, send requirements so Hesam can start the project.
Delivery time starts when Hesam receives requirements from you.
Hesam works on your project following the steps below.
Revisions may occur after the delivery date.
Review client requirements and dataset
I’ll review your data, problem description, and goals (classification, regression, or prediction).
Data preprocessing and setup
Clean, format, and prepare your dataset for model training, including feature scaling, encoding, and handling missing values.