Machine-Learning

Screenshot of the live merge‑tree visualizer

Hands‑on build of a pure‑Python BPE tokenizer with Huffman merge tree, live visualizer, and tiny LM demo—great for showcasing systems skills

A practical, pure‑Python BPE tokenizer with a Huffman‑coded merge tree, live visualizer, and character‑level LM demo that highlights systems engineering skills.

A visualization of token probability distributions under different decoding strategies

Building a Pure-Python Token Sampler: Temperature, Top-k, Top-p, and Min-p Decoding from Scratch

A hands-on guide to implementing four major LLM token sampling strategies from scratch in pure Python. This project signals real systems engineering skill and serves as a standout portfolio piece for ML engineering roles.

Build a Pure-Python GGUF/Safetensors Weight Loader

Learn to build a lightweight, dependency‑free weight loader that demonstrates systems‑level skills for ML engineering roles.

Abstract visualization of a hierarchical graph with nodes and edges

Building a Hierarchical Navigable Small World (HNSW) Vector Index in Pure Python

Learn to build a from‑scratch HNSW index for semantic similarity search, showcasing systems skills for hiring managers.

A visualization of low-rank matrix decomposition applied to transformer weight matrices

Build a LoRA Adapter Trainer from Scratch: A Portfolio Project That Signals Real Systems Skill

A hands-on build guide for a from-scratch LoRA adapter trainer featuring gradient checkpointing and low-rank matrix fusion in pure Python, with architecture breakdown, runnable code, and a senior-level extension roadmap.