ML safety stuff
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
latent-adversarial-training
June 18, 2024 – September 29, 2024
latent-adversarial-training — GitHub repository
View Projecttasks
December 9, 2023 – January 14, 2025
My own set of general evaluations to be shared between projects
View Projecteasy-sae-training
October 28, 2023 – November 1, 2023
Easy training for Sparse Linear Autoencoders (https://arxiv.org/abs/2309.08600) with data from TransformerLens models.
View Projectesoteric-editor
January 22, 2021 – May 20, 2023
A (n inactive) collaborative project to write a text editor using as many programming languages as possible
View Projectmodular_vm
February 28, 2019 – March 19, 2019
A rust framework for creating modular, multithreaded, VMs.
View ProjectCultural Fit Analysis
The candidate's personal projects show a strong inclination towards research-oriented and experimental work in AI/ML, which could align well with an innovative and technically deep culture. However, the lack of team projects or professional experience makes it difficult to fully assess cultural fit, especially regarding collaboration and stakeholder interaction. The diversity of technologies used (Rust, Haskell, J) suggests intellectual curiosity but also a potential for independent work over highly collaborative, standardized environments.
Soft Skills & Operational Fit
Insufficient data to assess soft skills or operational fit. The candidate's project descriptions are concise, but there is no information on collaboration, communication style, or problem-solving approaches in a team setting.