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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

myscalafun icon myscalafun

Exploring Scala - you cannot stop my Scala fun !!

neural-symbolic-machines icon neural-symbolic-machines

Neural Symbolic Machines is a framework to integrate neural networks and symbolic representations using reinforcement learning, with applications in program synthesis and semantic parsing.

notebooks icon notebooks

Google Cloud Datalab samples and documentation

openbabel icon openbabel

Open Babel is a chemical toolbox designed to speak the many languages of chemical data.

openchem icon openchem

OpenChem: Deep Learning toolkit for Computational Chemistry and Drug Design Research

openpose-plus icon openpose-plus

High-Performance and Flexible Pose Estimation Framework using TensorFlow, OpenPose and TensorRT

oscprepo icon oscprepo

A list of commands, scripts, resources, and more that I have gathered and attempted to consolidate for use as OSCP (and more) study material. Commands in 'Usefulcommands' Keepnote. Bookmarks and reading material in 'BookmarkList' CherryTree. Reconscan Py2 and Py3. Custom ISO building.

prog4comp icon prog4comp

Resources for the book "Programming for Computations" by S. Linge and H. P. Langtangen

prose icon prose

Microsoft Program Synthesis using Examples SDK is a framework of technologies for the automatic generation of programs from input-output examples. This repo includes samples and sample data for the Microsoft Program Synthesis using Example SDK.

pyrosetta.notebooks icon pyrosetta.notebooks

Jupyter Notebooks for learning the PyRosetta platform for biomolecular structure prediction and design

qstrader icon qstrader

QuantStart.com - Advanced Trading Infrastructure

qt-cuda-example icon qt-cuda-example

Example Qt project implementing a simple vector addition running on the GPU with performance measurement.

qtrader icon qtrader

Reinforcement Learning for Portfolio Management

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