Architected and developed a cutting-edge AI-powered audio and video localization platform that enables speech-to-speech translation and synthetic dubbing for professional media content.
🚀 Core Contributions
🏗️ Cloud-Native System Architecture
AWS Infrastructure Design: Created comprehensive architecture utilizing Cognito, S3, EventBridge, Lambda, ECS, App Runner, and CloudWatch
API Design & Documentation: Designed and documented comprehensive API structure using Swagger
Event-Driven Architecture: Implemented scalable event-driven system for asynchronous media processing workflows
Security & Authentication: Developed robust authentication and authorization using AWS Cognito
🧠 AI & Language Model Integration
ML API Gateway: Built core API components to seamlessly integrate large language models and AI capabilities
Performance Optimization: Enhanced API interfaces for speed, reliability, and developer experience
Model Monitoring: Implemented tools to track model behavior and performance metrics
GCP Data Pipeline: Designed data collection pipeline for training specialized Text-To-Speech ML models
📊 Media Processing Pipeline
Multipart Upload System: Created efficient S3-based file handling for large media files
Video Processing: Implemented thumbnail generation and secure direct-from-S3 media serving
Subtitle Generation: Built AWS Lambda service for automated SRT file creation