Ajay Hemnani
Sales Enablement Manager at Cisco
Singapore, Singapore
Summary
🤩
Rockstar🎓
Top SchoolAjay Hemnani is a Sales Enablement Manager at Cisco with nine years of professional experience and a strong technical foundation from an M.Sc. and Bachelor's in Computer Science from the National University of Singapore. He spent over a decade at Google Cloud leading technical training, where he blended hands-on ML pipeline work with developer education and workshop delivery. Ajay contributes to prominent GoogleCloudPlatform repos, adapting TFX and Kubeflow pipeline notebooks and troubleshooting GCP workshop materials to improve reproducibility and usability. His background bridges technical training leadership and practical MLOps experience, enabling him to translate complex cloud ML workflows into consumable enablement content. Based in Singapore, he brings rare cross-functional fluency—education, engineering, and customer-facing enablement—that accelerates adoption of cloud AI practices.
9 years of coding experience
5 years of employment as a software developer
M.Sc, Computer Science, M.Sc, Computer Science at National University of Singapore
Github Skills (13)
jupyter-notebook10
machine-learning10
google-cloud-platform10
mlops10
tensorflow10
python10
gcp10
dataflow9
dataflow-programming9
bigquery8
dockers5
cicd5
docker5
Programming languages (1)
Github contributions (5)
GoogleCloudPlatform/training-data-analyst
Apr 2017 - Jul 2022
Labs and demos for courses for GCP Training (http://cloud.google.com/training).
Role in this project:
Data Scientist
Data ScientistContributions:26 commits, 15 PRs, 5 pushes in 5 years 4 months
Contributions summary:Ajay's contributions focused on enhancing machine learning training pipelines within the Google Cloud Platform environment. They added and modified code in `feateng.ipynb` to include a `REPO` variable, which is used to specify the project's directory. The user also incorporated the `REPO` variable into the training and prediction commands using `gcloud ml-engine`. Furthermore, the user worked on a `train_deploy.ipynb` notebook.
gcp
GoogleCloudPlatform/mlops-on-gcp
Aug 2022 - Nov 2022
Role in this project:MLOps Engineer
MLOps EngineerContributions:43 commits, 42 PRs, 61 pushes in 3 months
Contributions summary:Ajay primarily focused on updating and modifying various Jupyter notebooks related to TFX pipelines and KFP (Kubeflow Pipelines) within the Google Cloud Platform MLOps framework. Their changes involve adjusting pipeline configurations, specifically modifying parameter settings, installation instructions, and command definitions within pipeline YAML files. The user's contributions are centered around adapting and troubleshooting existing workshop materials to ensure their proper execution within the GCP environment. This includes addressing known issues, updating package installation instructions, and fixing bugs to improve workflow.
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