
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
anthropics
Frontend Developer
June 26, 2026 – Present
news-agents
May 4, 2025 – July 19, 2025
📰 Building News Agents to Summarize News with MCP, Q, and tmux
View Projectllm-paper-notes
January 10, 2024 – July 31, 2024
Notes from the Latent Space paper club. Follow along or start your own!
View Projectobsidian-copilot
June 11, 2023 – June 30, 2024
🤖 A prototype assistant for writing and thinking
View Projectopen-llms
May 5, 2023 – February 13, 2025
📋 A list of open LLMs available for commercial use.
View Project1-on-1s
August 20, 2022 – May 11, 2024
🌱 1-on-1 questions and resources from my time as a manager.
View Projectapplyingml
May 10, 2021 – June 5, 2024
📌 Papers, guides, and mentor interviews on applying machine learning for ApplyingML.com—the ghost knowledge of machine learning.
View Projectml-design-docs
March 12, 2021 – March 16, 2023
📝 Design doc template & examples for machine learning systems (requirements, methodology, implementation, etc.)
View Projecttesting-ml
August 30, 2020 – September 21, 2022
🔍 Minimal examples of machine learning tests for implementation, behaviour, and performance.
View Projectml-surveys
August 8, 2020 – March 17, 2023
📋 Survey papers summarizing advances in deep learning, NLP, CV, graphs, reinforcement learning, recommendations, graphs, etc.
View Projectapplied-ml
July 4, 2020 – July 18, 2024
📚 Papers & tech blogs by companies sharing their work on data science & machine learning in production.
View ProjectCultural Fit Analysis
The candidate's projects are heavily focused on machine learning and data science, which, while demonstrating intellectual curiosity and a strong technical foundation, do not directly align with the 'Frontend Developer' target role. The 'applyingml' project does involve MDX, JavaScript, and CSS, showing some frontend exposure. The diversity of projects indicates a proactive and self-directed learning approach. However, the strong emphasis on ML/AI might suggest a different career trajectory or primary interest.
Soft Skills & Operational Fit
The candidate's personal projects, particularly '1-on-1s', suggest an interest in management and team dynamics. However, without psychometric test results or interview data, a comprehensive assessment of soft skills and operational fit is not possible.