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: | Java refresher, Binary Analysis |
| Oct: | Prompt Engineering |
| Nov: | C++ 17/20, CMake |
| Dec: | AWS certification |
- Team management, planning, mentoring & training, code-review, remote outsource coordination
- 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
- 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
- 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
- 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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