# Wideet Shende

> ML Infrastructure

Location: San Francisco, California, United States
Profile: https://flows.cv/wideet

Machine Learning Engineer capable of building and optimizing end-to-end ML pipelines. Experience at all levels of ML platform development, from Cloud Infrastructure and Services (Kubernetes, Kubeflow, Terraform) to Data Pipeline creation (Apache Beam, Spark) to model optimization and deployment (Tensorflow, PyTorch, Scikit-learn).

## Work Experience
### Senior Software Engineer - Ads ML Infra @ Pinterest
Jan 2023 – Present | San Francisco Bay Area

### Senior Machine Learning Infrastructure Software Engineer @ Instacart
Jan 2021 – Jan 2023 | San Francisco, California, United States

### Machine Learning Engineer @ Lumiata
Jan 2019 – Jan 2021
- Developing Machine Learning Platform for Healthcare Data Scientists, leveraging technologies such as Kubeflow, Spark, and Beam
- Building Deep Learning models with variety of architectures using Tensorflow, PyTorch
- Maintaining and automating cloud infrastructure through Kubernetes and Terraform

### Data Scientist @ Lumiata
Jan 2018 – Jan 2019 | San Mateo, CA


## Education
### Bachelor's degree in Statistics / Computer Science
University of California, Berkeley


## Contact & Social
- LinkedIn: https://linkedin.com/in/wideetshende
- GitHub: https://github.com/wideet

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Source: https://flows.cv/wideet
JSON Resume: https://flows.cv/wideet/resume.json
Last updated: 2026-03-29