Podmorph

i. Overview

A collaboration between Captain McFunshine’s Software Engineering, Overcoat Media, an independent project leader, and an independent designer. Native applications across iOS, Android, Windows, macOS (x64 + ARM), Linux (x64 + ARM) — one Kotlin Multiplatform codebase, seven shipping targets. 2024.

ii. Architecture & Cross-Platform

As Lead Architect, I designed and implemented a comprehensive cross-platform solution:

• Architected and implemented a comprehensive Kotlin Multiplatform (KMP) solution delivering native applications for 7 platforms.
• Collaboratively designed and implemented the UI using Compose Multiplatform, enabling consistent interfaces across all supported platforms.
• Established a robust Model-View-Intent (MVI) architecture for predictable state management and UI interactions.
• Implemented client-server architecture to control AI interaction and balance processing between local devices and cloud resources.
• Integrated multiple AI services with fallback mechanisms to ensure service continuity.

iii. Cloud & API Integration

I developed a robust cloud infrastructure to handle complex media processing:

• Designed cloud-based processing workflow using Azure Container Instances and AWS S3 for data storage.
• Implemented PostgreSQL management with data models for user accounts, projects, payments and content artifacts.
• Orchestrated multiple AI services — Groq, Anthropic, OpenAI, Fal.ai, Whisper, Google Vertex AI — with fallback mechanisms.
• Built optimised media processing pipelines for transcription, summarisation, and text/image/video generation.
• Created secure API communication using Ktor with proper authentication and error handling.

iv. Media Processing

The heart of PodMorph lies in its sophisticated media processing capabilities:

• Developed advanced text-to-image generation workflows using multiple AI models (DALL-E, Flux, Idiogram) for diverse creative outputs.
• Created sophisticated audio/video processing using FFMPEG for precise clip extraction and multi-layer composition.
• Implemented intelligent text overlay systems with dynamic sizing and multi-layer outlining for readability.
• Built systems to automatically synchronise text animations with audio using segment timings.
• Integrated NLP for entity recognition, sentiment analysis, and quote extraction.

v. Key Contributions

• Owned architecture and development of the product end to end.
• Created a complete AI processing pipeline from audio transcription to fully-rendered social media content.
• Implemented intelligent content transformation with multiple specialised outputs (Twitter threads, Instagram Reels, LinkedIn posts).
• Developed sophisticated content verification algorithms to ensure AI-generated content matches source material.
• Built a consistent cross-platform user experience that feels native on each supported operating system.
• Designed intelligent fallback mechanisms throughout the system to ensure reliability during API outages.

vi. Stack