Martin Mirakyan
Founder at Profound Academy
Yerevan, Armenia
Summary
👤
Senior🎓
Top SchoolMartin Mirakyan is a founder and machine learning engineer with a decade of experience building education technology and production-grade backend systems from Yerevan. He leads Profound Academy, delivering customizable CS curricula, an interactive platform that automates the bulk of teacher workflows, and robust cheating-detection that flags both peer and AI-assisted plagiarism. His background includes ML roles at Toptal, YerevaNN and PicsArt, internships at Facebook where he contributed to Magma and ad-measurement tooling, and hands-on DevOps/backend work improving Magma’s logging and health checks. Comfortable bridging research and operations, he focuses on reliability, observability, and practical ML solutions that scale in real classrooms and networks. Uncommonly for a founder, he pairs product vision with low-level engineering chops—ranging from core dump analysis to integration of AI-detection into learning platforms.
10 years of coding experience
5 years of employment as a software developer
172 schoolAybBachelor's degree Computer Science, Bachelor's degree Computer Science at American University of ArmeniaMaster's degree Machine Learning, Master's degree Machine Learning at Instituto Superior Técnico
English, Russian, Armenian
Github Skills (17)
python10
glog10
5g9
c119
net9
4g9
go9
c179
network9
systemd8
networking8
syslog8
devops8
cicd7
dockers7
Programming languages (10)
Github contributions (5)
magma/magma
Jun 2019 - Aug 2019
Platform for building access networks and modular network services
Role in this project:
Back-end Developer & DevOps Engineer
Back-end Developer & DevOps EngineerContributions:34 commits, 2 PRs in 1 month
Contributions summary:Martin's primary contribution involved enhancing the logging system within the Magma platform by migrating from ITTI tasks to the glog library, improving logging capabilities and efficiency. They also addressed backward compatibility by establishing a symlink for the MME log, directing INFO-level logs to a specific file. Furthermore, they introduced and enhanced health check functionalities, including the addition of checks for internet connectivity, DNS resolution, and service-level status, including core dump analysis and registration success rate. This work indicates a focus on both core back-end development and operational aspects within the access network platform.
pythonmobileltevagrant5g
MartinXPN/abcde
Jan 2021 - Oct 2021
Contributions:9 releases, 55 commits, 43 pushes in 9 months
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