Deep-Dives

A carefully curated set of practical, highly reproducible machine learning examples (PyTorch, Hugging Face, NumPy) featuring MPS-aware benchmarks and rigorous experiment hygiene for local hardware.

A decade-spanning food discovery app migrated from Ruby Sinatra to Rails to Django. Lessons on incremental framework migrations and sustaining a single codebase through ecosystem shifts.

A from‑scratch Git implementation in Rust; exploring content-addressable storage, plumbing/porcelain layering, and high-performance object caching.

A highly effective, local-first email auditing and automated cleanup tool designed to definitively identify noisy senders and deliver actionable, strictly privacy-preserving recommendations.

A robust Java-based tool engineered for seamlessly organizing and migrating extensive photo collections; featuring rigorous deduplication, automatic metadata preservation, and resumable execution.

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.

A highly optimized Sudoku engine engineered in Rust, featuring advanced human-like techniques, multi-platform support (Python, WASM), and microsecond-level performance.

An intensive end-to-end ETL processing example leveraging Apache Spark for large-scale parquet datasets; deeply focusing on strict schema handling, optimal partitioning, and reproducible aggregations.

A deep architectural comparison of streaming pipelines: evaluating Apache Beam's portable unified model (Java/DirectRunner) against Apache Flink's native API for stateful processing and fault tolerance.

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.

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.