Brandan Herron ⎢

Hello! My name is Brandan Herron.

I am a first-generation African American Computer Science student currently attending University of California, Berkeley, with a passion for using computers to solve real-world problems. I was born in Compton, California, and will be the first in my family to graduate college.

I bring extensive research experience in AI and machine learning through work with Google DeepMind and Amazon. I have a solid background in Python, quantitative analysis, and a passion for solving complex mathematical problems. In the past, I studied at Santa Monica College, completing my Associate of Arts in General Science.

Feel free to check out my GitHub for personal projects using Python, C++, HTML, CSS, and JavaScript. If interested, contact me on LinkedIn or Email :-)

Experience Highlights

AI Researcher, Google DeepMind & Berkeley AI Research Center

• Investigated AI vs. human learning patterns in gaming environments.
• Developed quantitative metrics comparing human vs. AI problem-solving strategies.
• Contributed to pioneering research bridging cognitive science and artificial intelligence.

Research Fellow, Amazon & Columbia University

• Optimized 3D reconstruction algorithms (NeRF) with a 10% accuracy boost.
• Authored comprehensive research documentation and delivered technical presentations.

Research Intern, University of California, Los Angeles (UCLA)

• Selected from 1,000+ applicants to research plant-sound interactions.
• Engineered Python-based data visualization pipelines to analyze response patterns.

Engineering Scholar, Snap Inc. & LA Tech

• Integrated NASA API for real-time shooting star tracking features.
• Implemented robust error handling ensuring 99.9% uptime.

Technical Skills & Achievements

Languages & Tools: CUDA, Python, PyTorch, SQL, Java, C++, JavaScript, Machine Learning, Data Science, Algorithms, Data Structures, Deep Learning, Computer Vision, Large Language Models, Linear Algebra, Probability, Statistics, Object Detection, 3D Reconstruction, Vision Transformers, Generative Adversarial Networks.

Domains: Machine Learning, Data Science, Deep Learning, Computer Vision, 3D Reconstruction.

Achievements: UC Berkeley CS Scholar (2023), Snap Engineering Scholarship (2020), NASA Aerospace Scholar (2020).

Clubs: Generative AI.