Karen Hambardzumyan
Researcher PhD Student at Meta
London, England, United Kingdom
Summary
🤩
Rockstar🎓
Top SchoolKaren Hambardzumyan is a Researcher and PhD student at UCL working with Meta FAIR on interpretability in machine learning and NLP, bringing 13 years of experience across research, engineering, and teaching. She helped pioneer prompt tuning with the ACL'21 WARP paper, led award-winning unsupervised methods for biomedical translation at WMT20, and has published on scaling laws and molecular generative models. As primary maintainer of the open-source Aim experiment tracker and a contributor to projects like jupyter-server-proxy and CleverHans, she blends deep research insight with production-grade backend and DevOps skills. Her background spans low-resource NLP research at YerevaNN, software architecture at AimStack, and hands-on coursework instruction and thesis supervision, illustrating a rare combination of mentorship, systems craftsmanship, and cutting-edge ML research.
13 years of coding experience
8 years of employment as a software developer
Master's degree Computer Science and Applied Mathematics, Master's degree Computer Science and Applied Mathematics at Yerevan State UniversityHigh School, High School at PhysMath Special SchoolUniversity College London
English, Armenian, Russian
Stackoverflow
1reputation
0reached
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Github Skills (30)
adversarial-attacks10
python10
jupyter10
rocksdb10
machine-learning10
proxy10
tensorflow10
cython10
experiment10
theano10
benchmark9
security9
benchmarking9
mlops9
keras9
Programming languages (7)
Github contributions (5)
aimhubio/aim
Aug 2021 - Nov 2022
Aim 💫 — An easy-to-use & supercharged open-source experiment tracker.
Role in this project:
Back-end Developer & DevOps Engineer
Back-end Developer & DevOps EngineerContributions:84 reviews, 33 commits, 70 PRs in 1 year 3 months
Contributions summary:Karen contributed significantly to the project by implementing performance optimizations and improving the codebase's maintainability. This included refactoring code, improving storage efficiency, and integrating automated packaging and build processes via GitHub Actions. The user also focused on improving the project's backend components, specifically dealing with the storage of metadata and experiment data in RocksDB. Furthermore, the user worked on restructuring existing code base and enhancing the core functionality of the project.
pythonaimtrackermetadatatensorflow
jupyterhub/jupyter-server-proxy
Feb 2022 - Jun 2022
Jupyter notebook server extension to proxy web services.
Role in this project:Back-end Developer
Back-end DeveloperContributions:6 commits, 1 PR, 4 comments in 4 months
Contributions summary:Karen's contributions primarily involve modifying the `jupyter_server_proxy/handlers.py` file. Their work focuses on addressing header handling, specifically blacklisting and removing hop-by-hop headers like `Transfer-Encoding`, `Proxy-Connection`, and others. The user also appears to be involved in refactoring or improving existing code related to proxy functionality, ensuring smooth communication. These changes directly impact how the server handles incoming requests and interacts with backend services.
pythonproxyjupyter-notebooknotebookweb-services
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