Generatore di resume

Andrej: template resume

Cinco template resume gratuiti basati sul profilo GitHub di @karpathy - passa da Markdown a LaTeX, modifica tutto, poi copia o scarica. Nessuna registrazione.

I dettagli di contatto, esperienza e istruzione salvati nel generatore di resume del profilo vengono compilati qui automaticamente in questo browser.

L'ordine classico a colonna singola che i recruiter e gli ATS si aspettano - lo stesso layout dell'esportazione PDF.

Sorgente - modificabile

# Andrej
[github.com/karpathy](https://github.com/karpathy) | [twitter.com/karpathy](https://twitter.com/karpathy) | Stanford

## Profilo
I like to train Deep Neural Nets on large datasets. Sviluppatore software, lavorando principalmente in HTML, Jupyter Notebook, Python, con 54 repository pubblici su GitHub, inclusi 490.799 stelle ottenute e 878 contributi nell'ultimo anno.

## Progetti

### autoresearch - Python, Jupyter Notebook (2026)
AI agents running research on single-GPU nanochat training automatically
- 96.698 stelle · 13.523 fork · [github.com/karpathy/autoresearch](https://github.com/karpathy/autoresearch)

### nanoGPT - Python (2022 – 2025)
The simplest, fastest repository for training/finetuning medium-sized GPTs.
- 63.347 stelle · 10.890 fork · [github.com/karpathy/nanoGPT](https://github.com/karpathy/nanoGPT)

### nanochat - Python, Jupyter Notebook, Shell (2025 – 2026)
The best ChatGPT that $100 can buy.
- 58.252 stelle · 8159 fork · [github.com/karpathy/nanochat](https://github.com/karpathy/nanochat)

### llm.c - Cuda, Python, C, C++ (2024 – 2025)
LLM training in simple, raw C/CUDA
- 31.050 stelle · 3766 fork · [github.com/karpathy/llm.c](https://github.com/karpathy/llm.c)

### llm-council - Python, JavaScript, CSS, Shell (2025)
LLM Council works together to answer your hardest questions
- 24.971 stelle · 4366 fork · [github.com/karpathy/llm-council](https://github.com/karpathy/llm-council)

### minGPT - Python, Jupyter Notebook (2020 – 2024)
A minimal PyTorch re-implementation of the OpenAI GPT (Generative Pretrained Transformer) training
- 24.913 stelle · 3331 fork · [github.com/karpathy/minGPT](https://github.com/karpathy/minGPT)

### nn-zero-to-hero - Jupyter Notebook (2022 – 2024)
Neural Networks: Zero to Hero
- 24.514 stelle · 3575 fork · [github.com/karpathy/nn-zero-to-hero](https://github.com/karpathy/nn-zero-to-hero)

### llama2.c - C, Python, Jupyter Notebook, Makefile (2023 – 2024)
Inference Llama 2 in one file of pure C
- 20.107 stelle · 2635 fork · [github.com/karpathy/llama2.c](https://github.com/karpathy/llama2.c)

### micrograd - Jupyter Notebook, Python (2020 – 2026)
A tiny scalar-valued autograd engine and a neural net library on top of it with PyTorch-like API
- 17.638 stelle · 2809 fork · [github.com/karpathy/micrograd](https://github.com/karpathy/micrograd)

### char-rnn - Lua (2015 – 2023)
Multi-layer Recurrent Neural Networks (LSTM, GRU, RNN) for character-level language models in Torch
- 12.104 stelle · 2623 fork · [github.com/karpathy/char-rnn](https://github.com/karpathy/char-rnn)

## Competenze Tecniche
- **Languages:** HTML, Jupyter Notebook, Python, Cuda, JavaScript, C
- **Frameworks:** Flask

## Open Source e Attività su GitHub
- 54 repository pubblici · 490.799 stelle ottenute · 72.115 fork nei progetti · 878 contributi nell'ultimo anno · serie più lunga di contributi: 15 giorni

Modifica liberamente - le tue modifiche aggiornano istantaneamente l'anteprima e l'output di copia/download.

Anteprima compatibile con la modalità scura

Andrej

github.com/karpathy | twitter.com/karpathy | Stanford

Profilo

I like to train Deep Neural Nets on large datasets. Sviluppatore software, lavorando principalmente in HTML, Jupyter Notebook, Python, con 54 repository pubblici su GitHub, inclusi 490.799 stelle ottenute e 878 contributi nell'ultimo anno.

Progetti

autoresearch - Python, Jupyter Notebook (2026)

AI agents running research on single-GPU nanochat training automatically

96.698 stelle · 13.523 fork · github.com/karpathy/autoresearch

nanoGPT - Python (2022 – 2025)

The simplest, fastest repository for training/finetuning medium-sized GPTs.

63.347 stelle · 10.890 fork · github.com/karpathy/nanoGPT

nanochat - Python, Jupyter Notebook, Shell (2025 – 2026)

The best ChatGPT that $100 can buy.

58.252 stelle · 8159 fork · github.com/karpathy/nanochat

llm.c - Cuda, Python, C, C++ (2024 – 2025)

LLM training in simple, raw C/CUDA

31.050 stelle · 3766 fork · github.com/karpathy/llm.c

llm-council - Python, JavaScript, CSS, Shell (2025)

LLM Council works together to answer your hardest questions

24.971 stelle · 4366 fork · github.com/karpathy/llm-council

minGPT - Python, Jupyter Notebook (2020 – 2024)

A minimal PyTorch re-implementation of the OpenAI GPT (Generative Pretrained Transformer) training

24.913 stelle · 3331 fork · github.com/karpathy/minGPT

nn-zero-to-hero - Jupyter Notebook (2022 – 2024)

Neural Networks: Zero to Hero

24.514 stelle · 3575 fork · github.com/karpathy/nn-zero-to-hero

llama2.c - C, Python, Jupyter Notebook, Makefile (2023 – 2024)

Inference Llama 2 in one file of pure C

20.107 stelle · 2635 fork · github.com/karpathy/llama2.c

micrograd - Jupyter Notebook, Python (2020 – 2026)

A tiny scalar-valued autograd engine and a neural net library on top of it with PyTorch-like API

17.638 stelle · 2809 fork · github.com/karpathy/micrograd

char-rnn - Lua (2015 – 2023)

Multi-layer Recurrent Neural Networks (LSTM, GRU, RNN) for character-level language models in Torch

12.104 stelle · 2623 fork · github.com/karpathy/char-rnn

Competenze Tecniche

Languages: HTML, Jupyter Notebook, Python, Cuda, JavaScript, C
Frameworks: Flask

Open Source e Attività su GitHub

54 repository pubblici · 490.799 stelle ottenute · 72.115 fork nei progetti · 878 contributi nell'ultimo anno · serie più lunga di contributi: 15 giorni

L'anteprima mostra il contenuto tramite la versione Markdown - compila il .tex (ad es. su Overleaf) per l'output tipografico esatto.

Le esportazioni di una pagina in PDF e Word si trovano ancora nella dashboard del profilo, con i campi di contatto ed esperienza modificabili.