> Portfolio of Jonas Chris Ferrao, an AI ML Engineer specializing in machine learning, data science, and software engineering. Explore innovative projects in neural networks, computer vision, and production-grade ML systems.

# About Me

PERSONAL // FAQ

### My technical biases?

Writing **minimal code**, preferring abstractions and obsessing off** optimising pipeline latency**. When it comes to ML, I default to end-to-end deep learning over hand-crafted feature engineering.

### My development setup?

[Visual Studio Code](https://code.visualstudio.com/), [Docker](https://www.docker.com/), [Google Colab](https://colab.research.google.com/), and [uv](https://docs.astral.sh/uv/) form my core development setup. I rely heavily on **agentic coding** to eliminate boilerplate and accelerate implementation.

### Why AI?

I truly believe **AI** has the potential to change the world. It's a tool for solving complex problems and improving daily life. With an **e/acc** mindset, I want to help accelerate that future.

### What kinds of problems excite me most?

Any **uncharted problem** with no pre-existing playbook. I love tearing down an open challenge, building from first principles, and finding the **best model** that actually cracks it.

### How did I learn ML?

I focus on building projects and reading research papers. The key is to keep experimenting and learning, there's always something new to learn.

### READING_LIST

- [1][Attention is all you need](https://arxiv.org/abs/1706.03762)
- [2][Scaling Laws for Neural Language Models](https://arxiv.org/abs/2001.08361)
- [3][Insights into DeepSeek-V3](https://arxiv.org/abs/2505.09343)
- [4][LFM2 Technical Report](https://arxiv.org/abs/2511.23404)
- [5][LeVLJEPA: End-to-End Vision-Language Pretraining Without Negatives](https://arxiv.org/abs/2607.00784)
- [6][A Recipe for Training Neural Networks](https://karpathy.github.io/2019/04/25/recipe/)
- [7][Defeating Nondeterminism in LLM Inference](https://thinkingmachines.ai/blog/defeating-nondeterminism-in-llm-inference/)

## Reach out to me

[EMAIL](mailto:jonasferrao21@gmail.com)[PHONE](tel:+918805513038)[LINKEDIN](https://www.linkedin.com/in/jonas-ferrao/)

© 2026 JONAS FERRAO

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