Deep-Dives

10 items

AI/ML Workshop — machine-learning , privacy
A carefully curated set of practical, highly reproducible machine learning examples spanning PyTorch model training, Hugging Face dataset tooling, NumPy fundamentals, and scikit-learn experiments; featuring MPS-aware hardware benchmarks and rigorous experiment hygiene for local-first development.
Chowist — extensibility , migration , monitoring
A decade-spanning food discovery app migrated from Ruby Sinatra to Rails to Django; documenting the real costs of incremental framework migration, ecosystem drift, and the discipline of staying current across 10+ years of active maintenance.
Data Processing Architectures — data-pipelines , fault-tolerance , parallelization and +2 more
A deep architectural comparison of data processing pipelines: evaluating Apache Spark's batch ETL model against Apache Beam's portable unified model and Apache Flink's native API for stateful processing.
Grit — extensibility , indexing , search-algorithms and +1 more
A from‑scratch Git implementation in Rust; exploring content-addressable storage, plumbing/porcelain layering, and high-performance object caching.
Mailprune — monitoring , privacy , protocols
A highly effective, local-first email auditing and automated cleanup tool designed to definitively identify noisy senders and deliver actionable, strictly privacy-preserving recommendations.
Photohaul — deduplication , extensibility , media and +1 more
A robust Java-based tool engineered for seamlessly organizing and migrating extensive photo collections; featuring rigorous deduplication, automatic metadata preservation, and resumable execution.
Ragchain — embeddings , indexing , machine-learning and +2 more
A comprehensive local RAG stack (ChromaDB + Ollama) designed for strictly private, reproducible retrieval and LLM inference; heavily focusing on hybrid retrieval strategies and index versioning.
Rustoku — optimization , search-algorithms , systems-programming
A highly optimized Sudoku engine engineered in Rust, featuring advanced human-like techniques, multi-platform support (Python, WASM), and microsecond-level performance.
Video Analysis — extensibility , machine-learning , media
An exploration of multimodal video feature extraction comparing Apple-native frameworks (Vision, AVFoundation, Core Image) against cross-platform C++/Python toolchains (OpenCV, pybind11) for ML prep.
VirtuC — algorithms , compilers , optimization and +2 more
A from-scratch, Rust-implemented compiler designed for a targeted C subset that effectively emits standard LLVM IR; heavily focusing on proper AST design, semantic checking, and IR verification.