Varuna J
Machine Learning Researcher at labml.ai
Sri Lanka
Summary
🤩
Rockstar🎓
Top SchoolVaruna J is a machine learning researcher and full-stack engineer with 15 years of experience building products and analytics platforms, currently working at labml.ai. He co-founded Forestpin where he led the design and implementation of an anomaly-detection analytics system for financial transactions and earlier built mobile apps and games at imo.im to explore new business areas. An IOI gold medalist and IMO representative for Sri Lanka, he combines top-tier algorithmic problem-solving with practical system design. At labml.ai he contributes to widely used open-source tooling for monitoring and reproducing deep learning experiments, adding features for logging, visualization and experiment analysis. Recently focused on deep reinforcement learning, he bridges research and production by implementing paper-driven models and improving their experiment workflows. He also maintains a technical blog where he documents experiments and implementations, reflecting a preference for clear reproducibility and education.
15 years of coding experience
BSc, BSc at University of MoratuwaRoyal College
Github Skills (11)
pytorch10
machine-learning10
python10
documentation10
data-visualisation9
data-visualization9
deep-learning9
data-visualizations9
tensorboard9
tensorflow8
sql7
Programming languages (9)
Github contributions (5)
labmlai/annotated_deep_learning_paper_implementations
Aug 2020 - Dec 2022
🧑🏫 60+ Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠
Role in this project:
ML Engineer
ML EngineerContributions:5 reviews, 676 commits, 135 PRs in 2 years 4 months
Contributions summary:Varuna contributed to the project by adding links and updating code. These updates included links to existing files. The commits focused on updates and additions to the documentation. The changes suggest involvement in maintaining and improving the project documentation and organization.
notesdeep-learning-papersadamreinforcementswitch
labmlai/labml
Nov 2018 - Nov 2022
🔎 Monitor deep learning model training and hardware usage from your mobile phone 📱
Role in this project:ML Engineer
ML EngineerContributions:27 reviews, 1147 commits, 74 PRs in 4 years
Contributions summary:Varuna primarily contributed to the development and maintenance of the labml Python library, a tool for monitoring deep learning model training and hardware usage. Their work focused on enhancing the library's capabilities for analyzing and visualizing various aspects of deep learning experiments. Specifically, they implemented features for analyzing SQLite databases, logging tensor data, and visualising model outputs. The user's contributions are related to improving the libraries capabilities to log different aspects of an experiment.
monitormodel-trainingkeras-tensorflowtrainingmobile
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