Hamza Bilal
Backend & AI Solutions Developer
Hamza Bilal Overview
Hamza Bilal is a Full-Stack Developer and AI/ML Engineer specializing in backend development, machine learning, and AI-powered applications. With expertise in Python frameworks like Django, FastAPI, Flask, and Django REST Framework, Hamza builds scalable backend services and integrates AI models into production environments. His work includes deploying ML models on AWS (SageMaker, Comprehend), building AI agents with OpenAI, and creating end-to-end social media analysis pipelines. Hamza's solutions are designed for high performance, maintainability, and seamless integration with third-party services.
Hamza Bilal Screenshot
Hamza Bilal Official screenshot of the tool interface
Hamza Bilal Core Features
Backend Development
Hamza specializes in building robust backend solutions using Python frameworks like Django, FastAPI, and Flask. He designs RESTful APIs, implements OAuth flows, and creates modular architecture patterns for maintainable code. His expertise includes SQL databases, Git version control, and comprehensive testing with pytest.
AI/ML Integration
Hamza integrates AI and ML models into web applications, using Hugging Face for text, image, and video analysis. He builds AI agents for transcript generation with OpenAI and Agno, and implements Whisper models for video transcription. His ML stack includes custom TensorFlow/Keras and PyTorch CNNs for specialized tasks.
AWS Deployment
Hamza containerizes and deploys ML models on AWS SageMaker for real-time inference. He leverages AWS Comprehend for scalable text analysis (NER, sentiment, topics) and integrates these services into APIs. His AWS workflow includes S3, CloudWatch, and IAM for operational efficiency.
Social Media Analysis
Hamza engineers end-to-end social media assessment pipelines that ingest content from platforms like TikTok, Instagram, and YouTube using Apify crawlers. The system includes specialized analyzers for text (AWS Comprehend), images (custom CNN models), and videos (frame-by-frame analysis with aggregated insights).
Third-Party API Integration
Hamza has hands-on experience integrating APIs like Zoom, Salesforce, and Apify into backend systems. He implements OAuth flows, data syncing, and webhook handling, ensuring robust and maintainable integrations with clear separation of concerns.
Hamza Bilal Use Cases
Social Media Content Analysis
For marketing agencies needing insights into social media performance, Hamza can build a pipeline that scrapes content from platforms, analyzes text sentiment and key phrases with AWS Comprehend, processes images/videos with custom models, and generates comprehensive reports.
AI-Powered Business Tools
Hamza can integrate AI capabilities like document processing, transcript generation, or predictive analytics into business applications. Examples include automated PDF report generation with AI-enriched content or sales prediction models integrated with CRM systems.
Scalable Backend Services
For startups needing robust backend infrastructure, Hamza designs scalable services using Django/DRF or FastAPI, with Celery/Redis for background tasks. These can power SaaS products, e-commerce platforms, or data-intensive applications with clean APIs for frontend consumption.
How to Use Hamza Bilal
Define your project requirements, whether it's backend development, AI integration, or a combination of both. Hamza can help clarify technical feasibility and propose optimal solutions based on your needs.
Discuss architecture and technology stack. Hamza will recommend appropriate Python frameworks (Django for admin/ORM, FastAPI for async microservices) and AI/ML tools based on project scale and performance requirements.
Collaborate on development. Hamza builds modular, tested code with clear separation of concerns. For AI projects, this includes model training, containerization, and API exposure for integration with your application.
Deploy the solution. Hamza can containerize applications with Docker and deploy to your preferred cloud platform (AWS, etc.), including setting up CI/CD pipelines, monitoring, and scaling configurations.