C++/Python microstructure research engine for event-driven limit order book prediction and reproducible quantitative experiments.

Open ML systems platform for training, profiling, evaluating, and serving AI models.

Controlled mini-benchmark for context visibility, shortcut regimes, and composition in tiny causal transformers.

A follow along of “Build a Large Language Model (From Scratch)” by Sebastian Raschka, which is explained with an insightful YouTube series “Building LLM from Scratch” by Dr. Raj Dandekar (MIT PhD).

Reproducible evaluation suite for LLM behavior research: epistemic pathology, delegated introspection, and temporal consciousness diagnostics

Adnane Arharbi

GitHub profile README for Nicholas Kashani Motlagh

A jekyll site for the Feast and Fast exhibition at the Fitz

Automates hermetic environments (macOS/HPC) to eliminate drift. Provisions offline RAG (Gemma 2), compiles LaTeX manuscripts, and indexes local knowledge. Unifies infrastructure, writing, and inference into a single, audit-ready artifact.

Research-grade MLE repo for structured CNN pruning under explicit accuracy guard rails, with deployment-aware evaluation across parameter reduction, MACs, latency, and pruning overhead.