Adina T.

Responsibilities:

• Model Research & Architecture Selection : Evaluated Image Classification & Object Detection models, analyzing runtime and training complexity to select the optimal architecture

• Backend Core Engineering & Board Encoding : Developed core FastAPI services, action-token logic, GRU model integration, and efficient 8-bit tensor board encoding.

• Server Logic, Data Pipelines & Memory Optimization : Refactored backend logic, improved history logging using atomic writes, and optimized memory usage for large dynamic worlds.

• Scalable Microservices Architecture : Designed modular services (movement, sessions, world-state, messaging) and implemented chunk-generation for infinite world expansion.

• Multi-Team Git Integration & Code Unification : Merged cross-team codebases, resolved structural conflicts, standardized API interfaces, and ensured consistent repository architecture.

• UI Integration & Real-Time Sync : Connected TypeScript UI to backend endpoints and GRU predictions, enabling real-time updates and seamless infinite-world navigation.

• GRU Model Research & Variant Exploration : Benchmarked multiple GRU configurations and refined the model’s temporal-prediction role for gameplay sequence modeling.

• GRU Training Optimization & Stabilization : Improved model accuracy through hyperparameter tuning, iterative experimentation, and convergence-stability enhancements.

• Testing, Validation & Debugging Utilities : Created debugging tools and validation scenarios ensuring correct chunk loading, world transitions, and infinite-world stability.

• Theory Application, Presentation & Cloud Deployment : Applied insights from The Universality Lens (Feder, Urbanke & Fogel, 2025), delivered a technical presentation, and deployed all services to production at nanoverse.me.