Writing

Technical notes, research reflections, and longer-form essays on AI systems, machine learning, quantum computing, and learning.

Engineering Notes

Planned essays and notes are listed here as placeholders until full Markdown/MDX posts are added.

Building a Production-Style ML Model Registry

TODO: draft

A practical note on model versions, artifacts, metrics, and serving boundaries.

ML Infra FastAPI Evaluation

Agentic RAG with LangGraph: Design Notes from ContextForge

TODO: outline

Workflow boundaries, retrieval quality, tool calls, and grounded answer design.

RAG LangGraph Agents

Why RAG Evaluation Matters

TODO: draft

Notes on retrieval quality, citation coverage, groundedness, and regression tests.

RAG Evaluation

Walk-Forward Validation for Financial ML

TODO: planned

How temporal validation, costs, and baselines keep experiments honest.

Financial ML Backtesting

Research Notes

Planned essays and notes are listed here as placeholders until full Markdown/MDX posts are added.

Tensor Networks for Machine Learning

TODO: planned

A bridge note between tensor decompositions, physics intuition, and ML models.

Tensor Networks ML

Notes on Quantum State Preparation

TODO: planned

Encoding choices, circuit costs, and why simple examples matter.

QML Quantum Computing

QML Experiments and Failure Modes

TODO: notes

A running checklist for interpreting quantum ML experiments carefully.

QML Research

Reflections

Planned essays and notes are listed here as placeholders until full Markdown/MDX posts are added.

From Physics to AI Engineering

TODO: essay

A personal reflection on changing problem styles without losing scientific discipline.

Career Learning

Research, Uncertainty, and Building Taste

TODO: planned

Thoughts on choosing problems, reading signals, and building better technical judgment.

Research Judgment

Technical Imagination and Science Fiction

TODO: planned

A lighter note on how speculative ideas shape engineering taste.

Writing Science Fiction