Levon Ghukasyan
Backend Software Enginer at BrainRocket
Yerevan, Armenia
Summary
🤩
Rockstar🎓
Top SchoolLevon Ghukasyan is a backend software engineer based in Yerevan with four years of professional experience building scalable services and leading small development teams. He has progressed from full-stack and team lead roles into focused backend engineering positions at Tmarket and now BrainRocket, bringing practical experience in API design, cloud integrations, and release processes. An active contributor to the popular DeepLake AI data platform, he optimized data loader internals and improved S3 robustness—demonstrating attention to performance, dtype handling, and production reliability for ML workflows. Levon combines hands-on DevOps and dependency management skills with a background in web frontend development, enabling him to bridge infrastructure and application concerns effectively. Colleagues describe him as pragmatic and detail-oriented, able to stabilize complex data pipelines while iterating quickly.
4 years of coding experience
6 years of employment as a software developer
2, web frontend developer, 2, web frontend developer at Yerevan State University
Github Skills (8)
python10
numpy10
pytorch9
dependency-management8
data-science7
vector-search7
machine-learning7
aws-s37
Programming languages (2)
Github contributions (5)
activeloopai/deeplake
Nov 2021 - Mar 2025
Database for AI. Store Vectors, Images, Texts, Videos, etc. Use with LLMs/LangChain. Store, query, version, & visualize any AI data. Stream data in real-time to PyTorch/TensorFlow. https://activeloop.ai
Role in this project:
Back-end Developer & DevOps Engineer
Back-end Developer & DevOps EngineerContributions:108 reviews, 189 PRs, 226 pushes in 3 years 4 months
Contributions summary:Levon primarily focused on improving the `DeepLakeDataLoader` class, specifically optimizing the collation of NumPy arrays, removing unnecessary upcasting operations, and addressing dtype handling within the data loader. Their contributions also included bumping the `libdeeplake` version and merging various branches, indicating involvement in dependency management and release processes. Additionally, the user made adjustments to the S3 provider for more resilient performance, including retrying object size retrieval for improved stability with cloud storage.
pythonreal-time-datadata-streamjupyter-notebookvisualize
activeloopai/buH
Aug 2024 - Mar 2025
Hub backwards (buH) compatibility tests!
Contributions:15 pushes in 6 months
testingcompatibility
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