Software Engineer

Holden Grissett

918-***-**** *********@*****.*** linkedin.com/in/holdengs github.com/HoldenGs

Education

University of California, Los Angeles Los Angeles, CA Bachelor of Science in Computer Science & Physics - GPA: 3.74, Dean’s Honor List Sep. 2022 – June 2025

• Clubs: IEEE Officer & Project Lead, AI Safety Club, AAP

• Learning Assistant: CS 97 - Intro to Data Science University of California, Los Angeles Los Angeles, CA Master of Science in Computer Science Sep. 2025 – June 2026 Experience

Software Engineering Intern September 2024 – June 2025 Ozcan Lab Los Angeles, CA

• Wrote and maintained BioGames platform (http://bgames.ee.ucla.edu/), a new way to train pathologists on new immunohistochemical stains

• Used Rust application for backend API, TypeScript / React for frontend, and PostgreSQL database

• Python scripts written for data processing tasks

• Systemd, PM2, NGINX, Prometheus and Grafana used for system monitoring and administration Software Engineer March. 2019 – May 2020

Formation.ai - acquired by BCG San Francisco, CA

• Wrote DevOps tooling, maintained and developed Data Science team’s Python DAGs in Airflow

• Saved $15k a month by facilitating migration from EC2 Redis to Elasticache

• Developed core platform backend services, features, and infrastructure. Tools include Golang, Scala, Haskell, GraphQL, Terraform, Kubernetes, DynamoDB, S3, and API Gateway Undergraduate Researcher, Computational Machine Learning Lab January 2025 – Present UCLA Los Angeles, CA

• Researching efficient methods for forward invariance verification on neural controllers

• ICLR Publication forthcoming: Certified Training with Branch-and-Bound: A Case Study on Forward-Invariant Neural Control

Undergraduate Researcher, Communication Systems Lab June 2022 – June 2023 UCLA Los Angeles, CA

• Improved speed and robustness of error detecting codes by implementing Expurgated Linear Function search algorithm in Rust

• Published work to IEEE: https://ieeexplore.ieee.org/abstract/document/10273535 Projects

ML Robotics Simulation https:// holdengs.github.io/ pvp4real/ January 2025 – Present

• Added MetaUrban environment support for PVP4Real project

• Trained a Cocobot agent to autonomously navigate the MetaUrban environment

• Implementing DeepRacer in MetaUrban simulation environment Self Driving Car Project Docker, Python, Gazebo, AWS, ROS2, Deep Learning June 2024 – Present

• Lead a team to use Reinforcement Learning to control an AWS DeepRacer

• Used imitation learning to teach a real car how to navigate realistic track conditions ML Acceleration Project CUDA, HLS, C++ April 2025 – June 2025

• Achieved over 2100 GFLOPS on T4 GPU with custom CUDA kernel for CNN

• Accelerated CNN with custom HLS program for FPGA, achieving more than 200 GFLOPs on Xilinx Ultrascale+

• Wrote Generalized Matrix Multiplication algorithm using both OpenMP and MPI to optimize CPU performance Awards

First Place: 2017 Docker Hackathon

First Place: 2018 Holberton School Hackathon

Best Demonstration: 2025 Ozcan Lab UCLA Research Symposium Dean’s List: Undergraduate coursework at UCLA

Technical Skills

Languages: Rust, Java, Python, C/C++, SQL (Postgres, Sqlite3), Haskell, Golang Developer Tools: Git, Docker, AWS, VS Code, Gazebo, ROS2, Linux, TensorFlow, Matplotlib, Pytorch, JAX, Numpy, CUDA, OpenMP, MPI, HLS

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