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my CV

my 2024 study plan
Month focus
Jan - Feb: Blender python, CUDA
March - April (passover break): Intermediate Rust - Bindgen, Rustonomicon, RataTUI, CXX, Tokio, PyO3, WASM, Data Structures and Algorithms
May: Rust Leptos, Rust Macros, Zero to Production in Rust
June: Rust Bevy, NeoVim, Kitty
July: Rust SeaORM, DataFusion, Effective Rust; terminal Foo, Vulkan
Aug: Rust internals, LazyVim, eBPF, WASM, WebGPU, Hyprland
Sept: C++ refresher, CMake, SIMD
Oct: JAX NumPyro, Scipy
Nov: C++ CGAL
Dec: LLVM / MLIR

Skills

Engineering Leadership:

  • Team management, planning, mentoring & training, code-review, remote outsource coordination

Rust:

  • foundations: std, cargo, rustc, async, design patterns, data structures & algorithms
  • Macros
  • FFI: unsafe, Bindgen, Py03, CXX
  • RataTUI
  • Bevy ECS game engine
  • fullstack: Tokio + Axum / Tonic, SeaORM + SQLX, Leptos, Tracing

Artificial Intelligence:

  • Deep Learning: Transformers, Reinforcement Learning, Math foundations, MLOps pipelines, GenAI
  • SDKs: JAX, TensorFlow, HuggingFace, LangChain, Ray + RLLib
  • GOFAI / Algorithms: Search, Planning, Probabilistic Logic, Semantic MediaWiki / SparQL, Spacy NLP, SKLearn classic ML, Causality / Bayesian Inference
  • Misc: AGI + Philosophy, Mathematics, Program Synthesis, Protein Structural Bioinformatics

Currently self-learning:

  • Advanced AI + Mathematics: Graph Neural Nets, Numerical Methods, Monte Carlo Sampling, Stochastic Calculus, Numpyro, Differential Geometry, NeRFs, Tensorflow Lite, MediaPipe, JAX ecosystem
  • CUDA + NVidia SDKs: Triton, TensorRT-LLM, NeMo, DeepStream, Isaac
  • Compilers: LLVM, MLIR, OpenXLA
  • 3D: Vulkan, Blender API, WebGPU, glTF, Omniverse
  • Internals: Linux, NVim, Jupyter, CPython, eBPF, ELF dissasembly, AVX SIMD, GTK, Wayland

Architectural Technologies:

  • WebDev FullStack: TypeScript, React, Redux, NextJs, Deno, CSS, WebPack, Apollo + GraphQL
  • Modern C++: CMake, HPC {MPI, OpenMP}, JNI + NDK, Qt, JVM project Panama FFM, Cython
  • Distributed Systems + DBs: Scala + Akka, Iceberg + Trino, Neo4J, PostgresSQL, Redis, Kafka, gRPC, Streaming
  • Google Cloud: BigQuery, DataFlow (Beam), GKE, VertexAI
  • Data Science Stack: KubeFlow, Numpy/Scipy, Dask, RAPIDS, Milvus (VectorDB), Pandas, NetworkX, MatplotLib, FastAPI, SqlAlchemy, Poetry, PyEnv
  • Kubernetes DevOps Ecosystem: Linux + Bash, Docker, GitHub + CI/CD, Istio, Knative, Tekton, Prometheus, Kyverno, Helm, Operators
  • Data Visualization: WebGL / ThreeJs, SVG, Metabase, Dash / Plotly
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Josh Reuben's Projects

three.ar.js icon three.ar.js

A helper three.js library for building AR web experiences that run in WebARonARKit and WebARonARCore

tuning_playbook icon tuning_playbook

A playbook for systematically maximizing the performance of deep learning models.

universe icon universe

Universe: a software platform for measuring and training an AI's general intelligence across the world's supply of games, websites and other applications.

vkhlf icon vkhlf

Experimental High Level Framework for Vulkan

voyager icon voyager

An Open-Ended Embodied Agent with Large Language Models

vulkan icon vulkan

Examples and demos for the new Vulkan API

vulkano icon vulkano

Safe and rich Rust wrapper around the Vulkan API

wayland-rs icon wayland-rs

Rust implementation of the wayland protocol (client and server).

webassembly-examples icon webassembly-examples

Code examples that accompany the MDN WebAssembly documentation — see https://developer.mozilla.org/en-US/docs/WebAssembly.

weston icon weston

Reference compositor for Wayland (mirror)

wgpu icon wgpu

Cross-platform, safe, pure-rust graphics api.

xowa icon xowa

xowa offline wiki application

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