Bram Wasti
Software Engineer at Meta
New York, New York, United States
Summary
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Rockstar🎓
Top SchoolBram Wasti is a software engineer with 12 years of experience, currently focused on making large language models run efficiently at scale at Meta from his base in New York. He has a strong background in distributed systems and infrastructure, honed through long tenure at Meta and earlier work on memcache/McRouter during a Facebook internship. Bram’s roots in cluster management and consulting at Carnegie Mellon underscore a practical expertise in running and optimizing compute-intensive environments. He also contributes to hands-on open-source projects—authoring core functionality for a point-to-point terminal video chat that even explored alternative rendering like braille—highlighting an appetite for accessible, low-level systems work. Known for bridging research-grade systems and production requirements, he brings both operational rigor and experimental curiosity to large-scale ML engineering.
12 years of coding experience
3 years of employment as a software developer
Carnegie Mellon UniversityHunter College High School
Stackoverflow
1reputation
0reached
1answer
0questions
Github Skills (13)
c1710
ncurses10
c1110
portaudio10
network-programming9
video-processing9
udp9
braille8
audio-processing8
makefile8
javascript6
jquery6
resize6
Programming languages (7)
Github contributions (5)
mofarrell/p2pvc
Feb 2015 - Mar 2020
A point to point color terminal video chat.
Role in this project:
Full-stack Developer
Full-stack DeveloperContributions:129 commits, 8 PRs, 102 pushes in 5 years 2 months
Contributions summary:Bram primarily worked on implementing the core functionality of a point-to-point terminal video chat application. Their contributions include the initial setup of the project with basic audio and video components, along with improvements to the build process. They added a basic listener functionality to the p2plib and integrated sending methods for the video chat and test code. Furthermore, the user incorporated a framework for multiple rendering options, including braille support.
video-chat
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