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  • Leeds, United Kingdom
  • 15:26 (UTC -05:00)

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anthonytorlucci/README.md

Geophysicist by training, AI Researcher by inclination. I spent my career in seismic data processing and am now building toward a transition into research — applying machine learning and evolutionary computation to problems where the physics is hard and the data is noisy.

Current focus: rlevo — an evolutionary deep reinforcement learning library in Rust, built on the Burn framework. Designing type-safe, const-generic abstractions for hybrid RL and evolutionary agents.

Other work:

  • Full-stack Rust research tooling — knowledge graph exploration, FTS search, and graph navigation over SurrealDB with Leptos/WASM
  • The occasional harmonic analysis experiment for fun (music theory meets Leptos)

Stack: Rust · Burn · Tokio · Leptos · SurrealDB

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  1. rlevo rlevo Public

    Deep Reinforcement Learning with Evolutionary Optimization

    Rust 8 1

  2. harmonic-lab harmonic-lab Public

    interactive web application to explore music theory

    Rust

  3. burn-as-a-general-optimiser burn-as-a-general-optimiser Public

    example showing how to use Burn for numerical optimisation

    Rust

  4. burn-gru-time-series-forecasting burn-gru-time-series-forecasting Public

    GRU deep learning model for time series forecasting using Burn

    Rust

  5. rusty-connected-components rusty-connected-components Public

    An illustration of connected components using the Union-Find (Disjoint Set Union, DSU) data structure

    Rust

  6. rusty-convex-hull rusty-convex-hull Public

    convex hull algorithm

    Rust