About
Entry
te.ma.ram /têmaram/
a remang-remang
dim; faintly lit, as at twilight.
I am an AI engineering enthusiast. I enjoy using machine learning and/or AI to build something. I have good foundation in both theoritical and practical parts regarding these subjects. Building an impactful stuff as well as encouraging industry innovation has always been my desire. Currently I’m continuing my study on AI for my master’s degree.
I love watching movies and analyzing every aspect of it. Also, I sometimes read science books. And I listen to music very often.
I proudly present my Microsoft AI Engineer certificate here
And here is some of my badges I got throughout my learning journey.
Work experience
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Summer Student, DevOps Engineer
- Migrated configuration management of the ALICE EPN farm (350 nodes, 2,800 GPUs, ~45 PFLOPs) from manual SSH runs to a GitOps pipeline triggered only by a Git push.
- Evaluated five open-source automation platforms on licensing, access control and API; selected and deployed AWX with version-controlled configuration and automated CI image builds.
- Audited ~80 production roles for convergence and wrote a roadmap to make farm configuration reversible from Git history alone, as groundwork for LHC Run 4.
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Research Collaborator
- Designed and ran experiments for two computer-vision studies (ergonomic sitting posture, mangrove leaf species); built data collection setups, synthetic data pipelines and evaluation protocols.
- Compared CNNs against classical ML (XGBoost/MLP/SVM) on 8,000+ images with Bayesian hyperparameter search, selecting models on accuracy versus inference cost; improved domain robustness with synthetic augmentation (SDXL, Flux.1) and pose/keypoint pipelines.
- Ran literature reviews of 35+ papers per project and co-drafted journal manuscripts, a book chapter and a monograph with senior researchers.