Augusto Nicola
Augusto Nicola

Hi, I'm Augusto Nicola

AI Safety Researcher · Software Developer

I'm a Computer Science graduate from the University of Buenos Aires and an aspiring AI Safety researcher, currently doing research with SPAR and AI Safety Argentina. Before that, I spent three years as a software developer.
I'm always open to discussing new opportunities!

About Me

Who I am

My name is Augusto, I'm 23 years old and I live in Olivos, Buenos Aires. I'm a Computer Science graduate from the Faculty of Exact and Natural Sciences (UBA), and I strongly believe that AI Safety is one of the most pressing issues we have to tackle today. That's why I'm building my career towards becoming a technical AI Safety researcher.

My undergraduate thesis studied how stable the value systems of LLMs are, and I'm currently working on research projects on model psychology and interpretability of planning horizons. My main areas of interest are Mechanistic Interpretability, Evaluation Frameworks, and Model Development. I've also taken several technical courses, keep up with practical self-study, and actively engage with the local AI Safety community.

Before research, I worked for three years as a software developer, mainly on full-stack web development and container orchestration, with technologies like PHP, Laravel, Angular, Kubernetes, Docker, and Prometheus. I enjoy teamwork, learning new things, teaching, and facing complex challenges.

I'm always open to discussing new opportunities!

My toolkit

AI & Machine Learning

Python

PyTorch

TensorFlow

NumPy

Hugging Face

Matplotlib

OpenCV

Container Orchestration

Docker

Kubernetes

Prometheus

Grafana

Alertmanager

Web Backend

Logomark

Laravel

PHP

Node.js

MongoDB

SQL

Web Frontend

React.js

Angular.js

JavaScript

HTML

CSS

SASS

TailwindCSS

General

C++

Linux

Git

GitHub

Atlassian

ResearchMy work focuses on understanding what language models value, how stable those values are, and what their internals reveal about how they plan.

FeaturedUndergraduate thesis · FCEN-UBA · 2026

Value Systems in LLMs

Effects of Paraphrasing and Profile Elicitation on Decision-Making Consistency and Robustness

Whether language models have real values is contested. My thesis asks a more tractable question: do they have stable ones? I crossed ten meaning-preserving prompt perturbations (typos, negation, paraphrase, translation, reversed options...) with fourteen elicited personality profiles, drawn from the Big Five, Schwartz's basic values, and Moral Foundations Theory, and measured how consistent and robust the models' moral choices remained.

Current projects

SPAR

Supervised Program for Alignment Research

OngoingFall 2026 cohort

Planning Temporal Manifolds

Can we read how far ahead a language model is planning directly from its activations? Prior work found that time horizons, from seconds to centuries, form an ordinal manifold in the residual stream during single decisions. This project tests whether that geometry persists through multi-step planning: a first step toward monitoring and steering the planning horizon of AI agents, relevant to both myopic and scheming failures.

Project proposal

AISAR

AI Safety Argentina Scholarship

Ongoing2026 scholarship

Model Psychology & Preference Coherence

Experiments to better model LLM psychology: is a model a single persona acting under different roles, a persona-selection mechanism, or a shoggoth with masks? I study how coherent and variable model preferences are at different levels: profile elicitation in pretrained vs. helpful-only models, whether the persona writing the chain of thought differs from the one writing the answer, and the gap between stated preferences and actual behavior when choices have real consequences.

About AISAR

Education & TrainingThe path that brought me into AI Safety.

  1. 2026 — Present

    ARENA curriculum self-study

    Self-paced

    Developing research engineering skills and technical knowledge through the ARENA alignment curriculum.

  2. 2026

    "Technical AI Safety" course

    BlueDot Impact · Remote cohort

    Studied technical approaches to reducing risks from advanced AI systems, including alignment techniques, evals, and AI control. Honed my research taste, intuitions, and goals alongside motivated people from all around the world.

  3. 2021 — 2026

    BSc. in Computer Science

    FCEN, University of Buenos Aires · GPA 9.35/10

    AI-oriented curriculum. My undergraduate thesis on LLM evals and value systems was my first step into AI Safety research.

  4. 2025

    "AI Alignment" course

    BlueDot Impact · Facilitated by BAISH at FCEN-UBA

    My first deep dive into AI Safety, and my first contact with the local AI Safety community.

  5. 2022 — 2025

    Jr. Full-stack Developer & Sysadmin

    WillDom · Part-time

    Real-world experience working in a team and running a production web platform, from full-stack features to Kubernetes infrastructure.

CV & One-pagerMy one-pager is a quick overview of my AI Safety journey; my CV has the full picture. Both are kept up to date on Google Docs.