You will get a secure Django REST API backend for your web or mobile app
Project details
You will get an AI assistant integrated into your Django, React, or API-based application.
Depending on the selected package, the assistant can provide general AI chat, search your private documents using retrieval-augmented generation, show source references, maintain conversation history, stream responses, and provide tools for managing knowledge sources.
I will use secure server-side API handling, structured prompts, modular provider integration, error management, automated testing, and deployment-ready configuration. The system will be designed so that its components can be maintained and extended without tightly coupling the application to one model provider.
AI provider subscriptions, model usage, embedding usage, vector database fees, hosting, and other third-party service costs are not included in the project price and are paid directly by the client.
Depending on the selected package, the assistant can provide general AI chat, search your private documents using retrieval-augmented generation, show source references, maintain conversation history, stream responses, and provide tools for managing knowledge sources.
I will use secure server-side API handling, structured prompts, modular provider integration, error management, automated testing, and deployment-ready configuration. The system will be designed so that its components can be maintained and extended without tightly coupling the application to one model provider.
AI provider subscriptions, model usage, embedding usage, vector database fees, hosting, and other third-party service costs are not included in the project price and are paid directly by the client.
Programming Languages
PHP, PythonCoding Expertise
SecurityWhat's included
| Service Tiers |
Starter
$199
|
Standard
$549
|
Advanced
$1,099
|
|---|---|---|---|
| Delivery Time | 5 days | 10 days | 18 days |
Number of Revisions | 1 | 2 | 3 |
Design Customization | |||
Content Upload | - | ||
Responsive Design | - | - | - |
Source Code |
Optional add-ons
You can add these on the next page.
Content Upload
(+ 2 Days)
+$50
Additional knowledge source
(+ 3 Days)
+$150
Scanned PDF OCR support
(+ 4 Days)
+$200
Additional frontend integration
(+ 2 Days)
+$120Frequently asked questions
About Hesam
AI & Django Engineer | Computer Vision, ML & MLOps
Douliu, Taiwan - 8:05 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.
Use-case and architecture review
I will review the AI use case, expected questions, application architecture, knowledge sources, selected package, security requirements, and success criteria.
AI backend and retrieval development
I will implement the secure AI provider integration and, when included, document processing, embeddings, vector retrieval, prompt construction, and source references.