# Cyrus Wise

> EECS + Data Science @ UC Berkeley | Founder of Anre AI | Software Engineer

Location: Berkeley, California, United States
Profile: https://flows.cv/cyruswise

I'm an Ex-Stanford researcher and current software engineer at my startup with an extensive background in computer science & hardware, data science, educational science, alongside design and the arts. I look to join academia someday and journey through numerous technologies and experiences in the process.

## Work Experience
### Software Engineer @ ANRE Research
Jan 2023 – Present | Palo Alto, California, United States
Backend development and data engineering, setting up pipelines for multi-modal data processing and research on graphical compression of data.

### Root Staff/Technical Committee @ Computer Science Undergraduate Association (CSUA)
Jan 2024 – Present | Berkeley, California, United States

### VP of Industrial Relations @ Computer Science Undergraduate Association (CSUA)
Jan 2025 – Jan 2025 | Berkeley, California, United States
In charge of industry relations for the CSUA, coordinating with major tech companies and startups to organize info sessions, tech talks, and recruiting events that connect students with career opportunities.

### ENERES C100 - Reader @ University of California, Berkeley
Jan 2025 – Jan 2025
Graded 100+ student homework assignments and exams alongside one co-reader

### ENERES C100 - Head GSI @ University of California, Berkeley
Jan 2025 – Jan 2025 | Berkeley, California, United States
Co-GSI alongside PhD candidate Kaleb Javier for ENERES 100's Summer Session offering from June to August, taught by Professor Duncan Callaway. Led EdStem discussion as the head TA.

### Machine Learning Researcher @ San Francisco State University
Jan 2025 – Jan 2025 | San Francisco, California, United States
Working on applying Graph Neural Networks (GNNs) to structural integrity design as part of Matthew Pascual’s thesis research, under the supervision of Professor Cheng Chen.

### NCAS Mission I, II, III @ NASA - National Aeronautics and Space Administration
Jan 2025 – Jan 2025
On-site at the Langley Research Center this summer.

### Lead Technical Assistant @ Berkeley City College
Jan 2023 – Jan 2025
Tutored students of all ages in using platforms like Canvas, Google, and Adobe. Provided tech support, personalized learning plans, and guidance on managing online coursework and campus resources at Berkeley City College.

### Computer Science, Math & Physics Tutor @ Berkeley City College
Jan 2023 – Jan 2025 | Berkeley, California, United States
Tutored students across CS, Math, and Physics while providing personalized academic mentorship.

Computer Science: CIS 1, 5, 6, 25, 27, 61 (Intro CS, Programming, OOP, Data Structures & Algorithms, SICP)
Math: MATH 1, 3A–3C, 3E, 3F, 13 (Precalculus, Calculus I–III, Linear Algebra, Differential Equations, Statistics)
Physics: PHYS 4A-4C (Classical, Electromagnetism & Thermodynamics, Optics & Quantum Physics)

### TA for CIS6 (Introduction to Computer Programming) @ Berkeley City College
Jan 2024 – Jan 2024
In-class Teacher's Assistant, supporting student learning in introductory programming with C++, emphasizing fundamental practices in programming and helping students act upon curiosity towards building applications in C++.

### TA for CIS25 (Object Orientated Programming) @ Berkeley City College
Jan 2024 – Jan 2024
In-class Teacher's Assistant, supporting student learning in C++ object orientated programming, emphasizing fundamental practices in programming and fostering proficiency in C++ programming

### Software Engineering Consultant @ Open Project
Jan 2024 – Jan 2024 | Berkeley, California, United States
Worked with others to develop CRAM: a cutting-edge software application aimed at enhancing reading speed and learning efficiency for our client, HARP Research.

### Software Development Intern @ baywest construction
Jan 2024 – Jan 2024 | San Francisco Bay Area

### Deep Learning Researcher @ Stanford Center for Clinical Research (SCCR)
Jan 2023 – Jan 2024 | Palo Alto, California, United States
Worked with a team of grad/undergrads to create an LLM model which can accurately create personas and engage in conversation, emulating real human behavior in a way that generates up to a near-infinite context length based on Mixture-of-Experts (MoE) architectures


## Education
### BS in Electrical Engineering & Computer Sciences, Minor in Data Science
University of California, Berkeley

### Associate of Math - AST in Associate of Physics - AST
Berkeley City College

### Associate of Data Science - AST in Associate of Science - AS
Laney College

### Shasta College


## Contact & Social
- LinkedIn: https://linkedin.com/in/cyruswise
- Website: https://cyruswise.com
- Website: https://anreai.com

---
Source: https://flows.cv/cyruswise
JSON Resume: https://flows.cv/cyruswise/resume.json
Last updated: 2026-04-01