PhD Student @ NYU, Visiting Researcher @ Meta FAIR
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
http://ellisbrown.github.io/
New York University
Doctor of Philosophy - PhD, Computer Science
August 1, 2023 – Present
Carnegie Mellon University
Master of Science - MS, Computer Science
August 1, 2021 – May 1, 2023
Stanford University
Non-Degree Graduate Coursework, Computer Science
March 1, 2020 – June 1, 2020
Columbia University
Non-Degree Graduate Coursework, Computer Science
January 1, 2019 – May 1, 2019
Vanderbilt University
Bachelor of Arts - BA, Mathematics
August 1, 2013 – May 1, 2017
Vanderbilt University
Bachelor of Science - BS, Computer Science
August 1, 2013 – May 1, 2017
Meta
Visiting Researcher
December 1, 2025 – Present
Meta
Research Intern
June 1, 2025 – November 1, 2025
Allen Institute for AI (AI2)
Research Intern
May 1, 2024 – December 1, 2024
Seattle, Washington, United States · Hybrid
NYU Courant Institute of Mathematical Sciences
PhD Student Researcher
August 1, 2023 – Present
New York, United States
Carnegie Mellon University Robotics Institute
Graduate Student Researcher
January 1, 2022 – August 1, 2023
Pittsburgh, Pennsylvania, United States
BlackRock
Research Engineer | AI Labs
January 1, 2020 – July 1, 2021
BlackRock
Machine Learning Engineer | AI Labs
August 1, 2018 – December 1, 2019
BlackRock
Software Engineer
July 1, 2017 – August 1, 2018
Vanderbilt University School of Engineering
Undergraduate Student Researcher
January 1, 2017 – August 1, 2018
Nashville
BlackRock
Software Engineering Intern
June 1, 2016 – August 1, 2016
New York, NY
Duke University Talent Identification Program
Summer Studies Student
June 1, 2011 – July 1, 2011
Cambrian-1: A Fully Open, Vision-Centric Exploration of Multimodal LLMs
January 1, 2024 – May 1, 2024
Cambrian-1 is a family of multimodal LLMs (MLLMs) designed with a vision-centric approach.
V-IRL: Grounding Virtual Intelligence in Real Life
September 1, 2023 – January 1, 2024
An open-source framework for embodied agent and open-world computer vision research. Develop practical agents and test foundation models in virtual real world cities across the globe, grounded with real geospatial data and street view imagery.
Your Diffusion Model is Secretly a Zero-Shot Classifier
February 1, 2023 – April 1, 2023
Diffusion Classifier leverages pretrained diffusion models to perform zero-shot classification without additional training
Internet Explorer: Targeted Representation Learning on the Open Web
March 1, 2022 – December 1, 2022
Internet Explorer explores the web in a self-supervised manner to progressively find relevant examples that improve performance on a desired target dataset.
Cultural Fit Analysis
The candidate's background is heavily skewed towards academic research and advanced AI/ML development. While this demonstrates a high level of technical capability and intellectual curiosity, the alignment with a general 'Backend Engineer' role might require further investigation. The projects are highly specialized in AI/ML, which may indicate a preference for research-heavy environments. The diversity of institutions (universities, Meta, AI2, BlackRock) suggests adaptability, but the core focus remains consistent. The lack of explicit backend engineering technologies in project descriptions makes it challenging to assess direct cultural fit for a standard backend development team without further information.
Soft Skills & Operational Fit
The candidate's resume highlights a strong research-oriented background, suggesting skills in problem-solving, independent work, and contributing to advanced technical projects. The descriptions of personal projects indicate initiative and a deep interest in complex AI/ML domains. However, without specific assessment data on communication, logical reasoning, or teamwork, it is difficult to fully assess soft skills and operational fit beyond what can be inferred from academic and research roles.