Living Timeline
This page is a living timeline that brings together my long-form writing, project launches, and a few personal milestones in one chronological stream.
By listing articles and project releases side by side, you can trace how ideas move from early notes into published posts or shipped software over time. Each entry is tagged with the domains involved — from LLM systems and reinforcement learning to the occasional life event that influenced the work.
Everything is ordered from newest to oldest, with upcoming experiments included to highlight what's currently in the pipeline.
Future plans are clearly marked so you can see what might be coming next.
Activity Feed
2025
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Reinforcement learning roundup (probably)
Collecting field research for a late-2025 write-up once I know what sticks.
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RL sandbox prototypes
Experimenting with a grab bag of RL tools to match the article whenever the real scope reveals itself.
- Contextual Bandit Theory: Regret Bounds and Exploration (opens project or article)
Understand the theory behind contextual bandits: regret bounds, the exploration-exploitation tradeoff, reward models, and why certain algorithms work. Math that directly informs practice.
- When to Use Contextual Bandits: The Decision Framework (opens project or article)
Stop running month-long A/B tests that leave value on the table. Learn when contextual bandits are the right choice for adaptive, personalized optimization—and when to stick with simpler alternatives.
- Beyond the Vibe Check: A Systematic Approach to LLM Evaluation (opens project or article)
Stop relying on gut feelings to evaluate LLM outputs. Learn systematic approaches to build trustworthy evaluation pipelines with measurable metrics, proven methods, and production-ready practices. A practical guide covering faithfulness vs helpfulness, LLM-as-judge techniques, bias mitigation, and continuous monitoring.
2024
- Attention Mechanism (opens project or article)
Deep Learning flashcard
- Softmax Function (opens project or article)
Math flashcard
- Python @dataclass (opens project or article)
Code flashcard
- Transformer Architecture (opens project or article)
Deep Learning flashcard
- Gradient Descent (opens project or article)
ML Theory flashcard
- Docker Basics (opens project or article)
Tools flashcard
- Binary Search (opens project or article)
Algorithms flashcard
- Data Normalization (opens project or article)
Data flashcard
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Became a father
Our first child, Benjamim, arrived on September 12, 2024 — and everything changed in the best possible way. I hit pause on the deep-learning roadmap to start collecting training data from the tiniest (and most fascinating) human dataset I’ll ever work with. These days, midnight diaper shifts feel a lot like reinforcement-learning loops — except the reward signal is a sleepy giggle that makes every iteration worth it. I still catch myself jotting notes in our “family lab notebook,” half scientist, half dad, completely in awe.
2023
- Large Language Models with MLX (opens project or article)
I explored chat tooling on Apple Silicon using MLX to understand the runtime and packaging story.
- LoRA and DoRA Implementation (opens project or article)
I implemented LoRA and DoRA from scratch in PyTorch to understand the methods end to end.
- OpenELM Notes (opens project or article)
I wrote about OpenELM and how Apple approaches efficient language models.
- RAG with LlamaIndex, Elasticsearch, Llama3 (opens project or article)
I built a retrieval pipeline with LlamaIndex, Elasticsearch, and Llama3 to test local deployment workflows.