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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, EBPF, Aya, DataFusion, Polars; Debezium
Aug: Rust internals, more NeoVim
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

deep_trader icon deep_trader

This project uses reinforcement learning on stock market and agent tries to learn trading. The goal is to check if the agent can learn to read tape. The project is dedicated to hero in life great Jesse Livermore.

deeprl-agents icon deeprl-agents

A set of Deep Reinforcement Learning Agents implemented in Tensorflow.

dnc icon dnc

A TensorFlow implementation of the Differentiable Neural Computer.

ecfs icon ecfs

extended core file snapshot format

edward icon edward

A library for probabilistic modeling, inference, and criticism. Deep generative models, variational inference. Runs on TensorFlow.

fdm-book icon fdm-book

Resources for "The Craft of Finite Difference Computing with Partial Differential Equations" by H. P. Langtangen

four-c-example icon four-c-example

C++ project example using Clang (linux ubuntu), CMake, CLion and Conan

fpinscala icon fpinscala

Code, exercises, answers, and hints to go along with the book "Functional Programming in Scala"

gcpsketchnote icon gcpsketchnote

If you are looking to become a Google Cloud Engineer , then you are at the right place. GCPSketchnote is series where I share Google Cloud concepts in quick and easy to learn format.

go-is-not-good icon go-is-not-good

A curated list of articles complaining that go (golang) isn't good enough

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