Ed Donner
Data ScientistCo-Founder and CTO at AI startup Nebula.io
Nebula.io
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Co-Founder and CTO at AI startup Nebula.io
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Nebula.io
Data Scientist
June 26, 2026 – Present
production
July 19, 2025 – Present
Repo for my course on Generative AI and Agentic AI in Production
View Projectaction
May 4, 2025 – May 14, 2025
Repo to accompany Jon Krohn and Ed Donner's workshop on Agentic AI in Action at ODSC East
View Projectagentic
November 30, 2024 – Present
Hands-on LLM Engineering including Agentic AI Project
View Projecttech2ai
October 5, 2024 – Present
Code to accompany my course from Software Engineer to AI Data Scientist
View Projectllm_engineering
August 31, 2024 – Present
Repo to accompany my mastering LLM engineering course
View Projectoutsmart
August 3, 2024 – October 25, 2025
An LLM Arena that pits AI models against each other in a battle of diplomacy and deviousness
View ProjectCultural Fit Analysis
The candidate's projects are exclusively personal and heavily focused on LLM/Agentic AI courses and related development. While this shows strong initiative and a passion for AI, the lack of diverse project types (e.g., data analysis, traditional machine learning, MLOps, business intelligence) and the absence of team-based projects make it difficult to assess broader cultural fit or adaptability to varied data science challenges. The candidate's experience level is listed as 0, but they have a current role as 'Data Scientist' starting in the future (2026), which is contradictory and suggests a potential misrepresentation or future aspiration rather than current professional experience. This makes it hard to gauge alignment with a typical professional data science team environment.
Soft Skills & Operational Fit
Insufficient data to assess soft skills or operational fit. The candidate's projects are all personal and lack context on team collaboration or project management within a professional setting.