Santiago Valdarrama
VERIFIED TECHNICAL DOSSIERSources checked

Santiago Valdarrama

Founder, Underfitted | AI Educator, Machine Learning Engineer & Content Creator

2 Verified ArtifactsSource Checked & Attributed

Verified Proof of Work Artifacts

2 items cataloged

Each artifact below represents an authenticated research publication, production code repository, or technical architectural framework directly authored or co-created by Santiago Valdarrama. Every entry undergoes editorial source verification.

#1
IMPLEMENTATION Checked Sep 23, 2026

Hands-on Fine-Tuning Open Source LLMs for Production Tasks

Created open-source walkthroughs showing practitioners how to prepare structured JSONL datasets, apply LoRA adapters via Hugging Face PEFT, and quantize models using bitsandbytes on a single GPU.

Model & Execution Context:Llama 3 8B, Mistral 7B, PyTorch, Hugging Face TRL and PEFT.
Scope & Limitations

Single-GPU fine-tuning restricts effective batch sizes without gradient accumulation and activation checkpointing.

#2
EXPLANATION Checked Sep 23, 2026

From Scratch: Intuitive Vector Search & Embedding Spaces

Authored an interactive architectural breakdown explaining how high-dimensional vectors, dot-product projections, cosine similarities, and Hierarchical Navigable Small World (HNSW) graphs work under the hood.

Model & Execution Context:Python, NumPy, FAISS, and Chroma vector database architectures.
Scope & Limitations

HNSW approximate nearest neighbors algorithms trade off index build time and RAM consumption for query latency.