# Ross Alexander

> Eng @ Unify

Location: New York, New York, United States
Profile: https://flows.cv/rossalexander

## Work Experience
### Software Engineer @ Unify
Jan 2025 – Present | San Francisco, California, United States
🚀 Building the future of GTM & warm outbound

### Senior Software Engineer @ Waymo
Jan 2025 – Jan 2025 | San Francisco, California, United States

### Software Engineer @ Waymo
Jan 2022 – Jan 2025

### Graduate Researcher @ Stanford Intelligent Systems Laboratory
Jan 2020 – Jan 2021 | Stanford, California, United States
Research on planning under uncertainty:
- Partially-observable Markov decision processes (POMDPs) with non-acting observers (smart infrastructure for self-driving)
- Markov decision processes (MDPs) on graph diffusion problems (social networks, heat conduction, epidemics)

### Course Instructor @ Stanford University
Jan 2020 – Jan 2021 | Stanford, California, United States
• Artificial Intelligence (January 2022, January 2021; Eduexplora)
• Numerical Simulation (August 2021; Stanford Pre-Collegiate Studies)
• Technology in the World Today (July 2021; August 2021; Pre-Collegiate Pathways)
• Artificial Intelligence (June 2020; August 2020; June 2021; Stanford Pre-Collegiate Studies)

Two-week courses at various levels:
- 11th-12th grade: undergraduate-level course including the fundamentals of AI, ML, & optimization with deep exposure to mathematics, algorithms, and programming; includes supervised, unsupervised, and reinforcement learning algorithms.
- 9th-11th grade: survey & project course focused on the fundamentals of AI & ML with moderate exposure to algorithms & programming; project-based design thinking & data literacy.
- 7th-9th grade: survey & project course considering the core concepts of AI (perception, representation & reasoning, learning, natural interaction, and societal impact)

### Machine Learning Intern @ CFD Research Corporation
Jan 2019 – Jan 2019 | Huntsville, Alabama Area
Researched and implemented deep Gaussian processes (deep GPs) for regression tasks and coupled deep GPs with modern active learning techniques to improve online design-of-experiments (DOE) performance. Developed stochastic simulation, analysis, and visualization tools for state-of-the-art, rapid guided-weapon design optimization framework that utilizes evolutionary algorithms.

### Optimization Intern @ CFD Research Corporation
Jan 2018 – Jan 2018 | Huntsville, Alabama Area
Designed an optimal multi-layer thermal protection system (TPS) for a hypersonic vehicle nosecone subject to thermal, mechanical, and weight constraints using optimization software and a materials-response simulator.

### Computational Analyst Intern @ Corvid Technologies
Jan 2017 – Jan 2017 | Charlotte, North Carolina Area
Conducted an end-to-end simulator reproducibility analysis for company's proprietary computational fluid dynamics (CFD) solver leveraging real-world NASA wind tunnel test data, performing 3D modeling, meshing, and simulator configuration.


## Education
### Doctor of Philosophy - PhD in Aeronautics & Astronautics, Artificial Intelligence Track
Stanford University

### Master of Science in Aeronautics & Astronautics, Artificial Intelligence Track
Stanford University

### Bachelor of Science in Aerospace Engineering
Texas A&M University


## Contact & Social
- LinkedIn: https://linkedin.com/in/rbalexan

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Source: https://flows.cv/rossalexander
JSON Resume: https://flows.cv/rossalexander/resume.json
Last updated: 2026-04-10