Technical learning
Still studying.
Courses, lecture series, and technical books I'm working through right now, and the ones that got me here.
- Active
- 4
- Past
- 15
Active
4 in progress- Course Fall 2026
11-768 AI Agents
Carnegie Mellon · Graham Neubig & Daniel Fried
Building an agent scaffold from scratch, designing evals for multi-step tasks, and training agentic LLMs with RL.
- Course Fall 2026
CS336 Language Modeling from Scratch
Stanford · Percy Liang & Tatsunori Hashimoto
The full pipeline, built by hand: tokenization, transformers, training, scaling laws, data, and alignment.
- Lecture series Fall 2026
Post-training course & The RLHF Book
Nathan Lambert
Lectures on YouTube that follow the book chapter by chapter: reward models, RL math and implementation, DPO, reasoning models, and synthetic data.
- Book Fall 2026
AI Engineering
Chip Huyen
Building applications on foundation models: evaluation, prompting, RAG, agents, finetuning, and inference optimization.
Past
15 finishedMachine learning
Signals, imaging & sensing
Math, logic & computation
- 2019 B.S. in Applied Mathematics & Statistics, Philosophy Stony Brook University Degree
- 2017 Computability: Turing, Gödel, Church, and Beyond B. Jack Copeland et al. Book
- · Linear Algebra Done Right Sheldon Axler Book
- · Applied Combinatorics Alan Tucker Book
- · Logics for Computer Science Anita Wasilewska Book
- · Algorithmic Information Theory Gregory Chaitin Book