SOFTWARE & SYSTEM DEVELOPMENT
Audio-to-Text Processing
Overview
A backend service designed to convert voice or audio input into accurate text transcripts using integrated speech recognition APIs. The system was built on Ruby on Rails for scalable request handling and efficient data processing.
My Work
- Developed audio-to-text conversion pipelines using third-party speech recognition services (e.g., Google Speech API).
- Implemented asynchronous job processing in Rails for smooth background audio handling.
- Designed APIs for uploading, parsing, and storing transcribed results securely.
- Optimized performance for high-volume concurrent requests and ensured scalability.
- Added validation, logging, and error handling for stable and consistent output.
Audio-to-Text Processing
Overview
A backend service designed to convert voice or audio input into accurate text transcripts using integrated speech recognition APIs. The system was built on Ruby on Rails for scalable request handling and efficient data processing.
My Work
- Developed audio-to-text conversion pipelines using third-party speech recognition services (e.g., Google Speech API).
- Implemented asynchronous job processing in Rails for smooth background audio handling.
- Designed APIs for uploading, parsing, and storing transcribed results securely.
- Optimized performance for high-volume concurrent requests and ensured scalability.
- Added validation, logging, and error handling for stable and consistent output.
AI Integration in Battle Combat System
Overview
An advanced combat system upgrade introducing AI-driven decision-making to enhance real-time player-versus-environment (PvE) and player-versus-player (PvP) encounters. The AI adapts dynamically to player strategies, improving game balance and challenge.
My Work
- Integrated AI behavior trees and state machines for intelligent combat decisions.
- Enhanced enemy tactics and targeting logic, making fights more engaging and realistic.
- Tuned attack patterns, timing, and reactions based on combat context.
- Collaborated with gameplay designers to maintain balance between AI challenge and fairness.
- Optimized CPU usage by batching AI updates and reducing unnecessary computations.
Server Code Conversion (Python to C++)
Overview
A performance-focused migration of the server-side battle logic from Python to C++, aimed at improving processing speed, scalability, and cross-platform efficiency for live multiplayer systems.
My Work
- Translated core server-side battle algorithms from Python to C++ while preserving functionality.
- Re-engineered data structures and logic flows for optimized performance and lower latency.
- Conducted profiling and benchmarking to ensure measurable gains in execution speed.
- Improved memory handling and multi-threading capabilities on the C++ side.
- Validated integration with existing backend and client systems to maintain gameplay consistency.
Server Code Conversion (Python to C++)
Overview
A performance-focused migration of the server-side battle logic from Python to C++, aimed at improving processing speed, scalability, and cross-platform efficiency for live multiplayer systems.
My Work
- Translated core server-side battle algorithms from Python to C++ while preserving functionality.
- Re-engineered data structures and logic flows for optimized performance and lower latency.
- Conducted profiling and benchmarking to ensure measurable gains in execution speed.
- Improved memory handling and multi-threading capabilities on the C++ side.
- Validated integration with existing backend and client systems to maintain gameplay consistency.