Gunjan Chhablani
Sofware Engineer at Waymo
Mountain View, California, United States
Summary
🤩
Rockstar🎓
Top SchoolGunjan Chhablani is a software engineer with nine years of experience specializing in deep learning, NLP, computer vision and scalable infrastructure. Based in Mountain View, he blends research and production expertise from an MS in Computer Science at Georgia Tech and roles ranging from ML research to platform engineering at Oracle and Waymo. He is an active open-source contributor to Hugging Face’s datasets and transformers—adding datasets and improving VisualBERT examples—and has hands-on DevOps experience automating worker auto-scaling and monitoring for EvalAI using Prometheus and EKS. His background includes medical imaging segmentation and teaching roles, reflecting strong foundations in algorithmic thinking and applied ML. Known for moving models from research prototypes to reliable deployments, he brings a practical, metrics-driven approach to building multimodal AI systems.
8 years of coding experience
6 years of employment as a software developer
Bachelor of Engineering, Computer Science, 9.65, Bachelor of Engineering, Computer Science, 9.65 at Birla Institute of Technology & Science, PilaniMaster of Science - MS, Computer Science, Master of Science - MS, Computer Science at Georgia Institute of TechnologyDelhi Public School, Bhilai
English, Hindi, Sindhi
Github Skills (31)
pytorch10
docker10
python10
model-driven10
machine-learning10
cloud-infrastructure10
dockers10
cicd10
datasets10
model-building10
infrastructure10
prometheus10
deep-learning10
tensorflow10
aws10
Programming languages (10)
Github contributions (5)
Cloud-CV/EvalAI
Jul 2022 - Jan 2023
:cloud: :rocket: :bar_chart: :chart_with_upwards_trend: Evaluating state of the art in AI
Role in this project:
DevOps Engineer
DevOps EngineerContributions:147 reviews, 38 commits, 446 PRs in 6 months
Contributions summary:Gunjan primarily contributed to the automation and infrastructure aspects of the project, focusing on worker auto-scaling, monitoring, and deployment. The commits show a strong emphasis on utilizing Prometheus metrics to scale workers, along with the creation and modification of scripts for auto-scaling tasks. The user also worked on deployment scripts and configuration, including the setup for monitoring and EKS auto-scaling. These contributions demonstrate a focus on improving the operational efficiency and scalability of the project.
pythondjangostate-of-the-artangular7tensorflow
huggingface/datasets
Jan 2021 - Apr 2022
🤗 The largest hub of ready-to-use datasets for ML models with fast, easy-to-use and efficient data manipulation tools
Role in this project:Data Scientist & ML Engineer
Data Scientist & ML EngineerContributions:21 reviews, 20 commits, 26 PRs in 1 year 2 months
Contributions summary:Gunjan primarily contributed to the `huggingface/datasets` repository by adding and modifying dataset definitions. They implemented support for keyword arguments in dataset formatting for PyTorch and TensorFlow. The user added several new datasets, including DuoRC, Freebase QA, CIFAR-100, Tweet Eval, FewRel, CCAligned Multilingual, FashionMNIST, RoSent, bAbI QA tasks and MDD, demonstrating expertise in dataset integration and model training data preparation. These contributions enhanced the repository's breadth and utility for machine learning tasks.
ml-modelstensorflownatural-language-processingmanipulationdata-science
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