Staff Analytics Engineer

Thiago Panini

Architecting data platforms and analytics pipelines that turn raw signals into organizational clarity. I bridge the gap between complex data systems and business strategy — building the infrastructure that powers data-informed decisions at scale.

View Projects

Recent Activity

Currently Building

3 most recently active GitHub repos · refreshed daily by CI

Pushed today

panlabs-docs

Documentação de soluções técnicas em um único lugar

css
design-system
documentation

7d · 10 commits

0 0

GitHub

Recent commits panlabs-docs

Aug 30 03f281b DECISIONS.md resume os doze ADRs em oito decisões vigentes (…
Aug 29 1f36dff O CLAUDE.md passa a linkar docs/agents/workflow.md (#167)
Aug 29 a131906 Amputação do i18n: o site passa a ter locale único (#166)
Aug 29 6b83837 Os documentos: a tag, a poda de `docs/design`, o `CONTEXT.md…
Aug 29 b9499d8 fix: a citação de "mensagem" no contrato vira "message" (#15…

View on GitHub

Pushed today

panlabs-skills

🪚 My AI skills toolbox

7d · 85 commits

0 0

GitHub

Recent commits panlabs-skills

Aug 29 a2ca701 A jornada nasce mostrando antes de perguntar, e a skill se e…
Aug 29 26ddb58 A vista de detalhe por conta ganha o tratamento de outsiders…
Aug 29 a992e09 O portão de render: dez famílias medem sobre um Chromium rea…
Aug 29 1399195 A faixa auto-scaling passa a ceder o próprio traço para o ba…
Aug 29 885d5b2 A faixa de membros no caminho ELK degrada para rótulo em vez…

View on GitHub

Pushed today

panpan

✨ A personal webpage where you can find relevant technical information about me

front-end
website

0 0

GitHub

All projects on GitHub

AI Driven Development

My AI Stack

Paid tools, structured artifacts, and measurable impact — this is how I turn AI into a force multiplier.

Personal license Professional license

Claude Code Agentic pair-programmer

Pro

GitHub Copilot IDE-native completions & chat

Pro Enterprise

GPT / ChatGPT Prompt engineering specialist

Plus Enterprise

Devin Autonomous engineer

Enterprise

AI Impact

AI expanded what I'm able to learn and raised the bar on how I test it

Knowledge Expansion

How AI helped me learn new things

Language composition derived from the 5 most recently active repositories via the GitHub API.

Before AI Focused on well-mastered languages

Python

Terraform

After AI Exploring new languages through AI-accelerated learning

JavaScript 44.3%

CSS 28.4%

HTML 10.3%

Astro 9.5%

Shell 7.5%

Testing evolution

How AI raised my quality bar

Arithmetic mean of the latest line-coverage report from some of my GitHub repos tracked by Codecov

Before AI Tests were an afterthought in earlier projects

pynvest 67.4%

pynvest: 67.4 percent coverage on main

nbaflow 60.0%

nbaflow: 60.0 percent coverage on main

After AI AI-assisted development raised the quality bar

aidriven 78.0%

aidriven: 78.0 percent coverage on main

Last updated Aug 30, 2026