pub struct Backend;Expand description
Main backend product for Rask AI video localization platform.
Core backend service handling video and audio processing, AI-powered translation and dubbing workflows. Built with Python, FastAPI, SQS, and DynamoDB.
Trait Implementations§
impl<'period, 'f2023, 't2024, Language> Developer<Language> for &'period Backendwhere
Language: Python,
'period: 'f2023 + 't2024,
Senior Python Engineer on Backend
Main responsibilities and achievements:
- Designed and implemented new features for video and audio processing workflows
- Optimized distributed task processing with SQS, improving throughput and reliability
- Integrated AI services for translation and dubbing into the main processing pipeline
- Refactored core backend components for better maintainability and performance
- Implemented monitoring and observability for critical processing workflows
- Contributed to architectural decisions for scalability improvements
impl DynamoDB for Backend
NoSQL database for data storage.
impl FastAPI for Backend
Web framework used for HTTP services.
impl Python for Backend
Python is the main programming language for this project.
impl SQS for Backend
Message queue for distributed task processing.
Blanket Implementations§
Source§impl<T> BorrowMut<T> for Twhere
T: ?Sized,
impl<T> BorrowMut<T> for Twhere
T: ?Sized,
Source§fn borrow_mut(&mut self) -> &mut T
fn borrow_mut(&mut self) -> &mut T
Mutably borrows from an owned value. Read more