Daniel Lasry
Business Owner at Golden Rovers
Seattle, Washington, United States
Summary
🤩
Rockstar🎓
Top SchoolDaniel Lasry is a multilingual senior software engineer and manager with 15 years of experience building high-performance C++ systems across AAA games and animated films, currently splitting time between leadership at Turn 10 Studios and running a successful e-commerce hardware brand. He has shipped core multiplayer gameplay and cloud-deployed test clients, mentored teams of engineers, and previously accelerated Pixar’s tooling with CUDA-ported shaders and a 5x faster scene viewer. Equally comfortable in low-level performance work—demonstrated by optimizations in open-source biosensing projects like BrainFlow and OpenBCI—and in end-to-end product development, he prototyped 14+ products and fulfilled 1,500+ orders for his Land Rover accessories business. Based in Seattle and fluent in English, French, and Spanish, he blends studio-scale engineering discipline with entrepreneurial grit and hands-on fabrication skills.
15 years of coding experience
7 years of employment as a software developer
Science Track, Science Track at Lycée Français de MadridBachelor’s Degree Computer Science, Bachelor’s Degree Computer Science at Columbia University
English, Spanish, French
Github Skills (20)
openbci10
data-visualizations10
c-language10
signal-processing10
time-series10
data-visualisation10
front-end-development10
data-visualization10
cprogramming-language10
data-analysis10
user-interface9
iot9
embedded9
file-processing8
file-handling8
Programming languages (9)
Github contributions (5)
OpenBCI/OpenBCI_GUI
Jan 2019 - Sep 2020
A cross platform application for the OpenBCI Cyton and Ganglion. Tested on Mac, Windows and Ubuntu/Mint Linux.
Role in this project:
Full-stack Developer
Full-stack DeveloperContributions:32 releases, 8 reviews, 525 commits in 1 year 9 months
Contributions summary:Daniel focused on fixing bugs related to the accelerometer and its synthetic data generation. They implemented and debugged features within the graphical user interface (GUI) for the OpenBCI Cyton and Ganglion, including the integration of synthetic data for testing. The user also worked on integrating data streams, time series visualization, and made general improvements to the user interface. Their work involved modifications to the code for reading data from files, handling network streaming.
linuxopenbciubuntuwindows
brainflow-dev/brainflow
May 2019 - Jul 2020
BrainFlow is a library intended to obtain, parse and analyze EEG, EMG, ECG and other kinds of data from biosensors
Role in this project:Back-end Developer
Back-end DeveloperContributions:2 reviews, 26 commits, 4 PRs in 1 year 2 months
Contributions summary:Daniel focused on low-level code optimization and refactoring within the BrainFlow library. Their work involved converting memory allocation functions (`malloc`, `free`) to their C++ equivalents (`new`, `delete`) across multiple files. The user also addressed data extraction issues in the OpenBCI module, specifically for the Ganglion board, by applying delta calculations. Further contributions included fixing accel data delivery for Cyton, and Ganglion boards, as well as implementing safety measures to ensure the reliability of serial communication.
neurosciencepythonbrain-controlemgbioinformatics
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