# Nasibeh Nourbakhshnia

> Senior AI Engineer

Location: San Francisco Bay Area, United States
Profile: https://flows.cv/nasibeh

Senior AI Software Engineer, experienced in Machine Learning and Deep Learning frameworks and applications.

Passionate about Algorithms, Coding, Building innovative products, Future AI technologies and startup ideas.

Experienced in building scalable ML/DL/RL applications using pytorch, tensorflow, and end to end kubernetes CI/CD workflow.

Experienced in building scalable full stack applications covering backend to frontend using node, Python, SQL/No SQL Databases, React/Redux, and deployment to the cloud.

## Work Experience
### Senior Al Software Engineer @ AppZen
Jan 2019 – Present
Building End to End ML/DL models and platforms 

Skill Set and Experience:
Natural Language Processing, Computer Vision, PyTorch, TensorFlow,  Artificial Neural Networks, Convolutional Neural Networks, Recurrent Neural Networks, Supervised/Unsupervised ML classifiers, Knowledge Graph

Kubernetes CI/CD, Argocd, Helm charts, Seldon,  Dockers, CI/CD pipelines with Jenkins, Google Protobufs, Sqlalchemy, Creating APIs with Flask Apps, Elasticsearch, Kafka, Appache Flink, Airflow

### Senior Product Engineer - Analytics and Optimization @ Tesla
Jan 2016 – Jan 2019 | San Francisco Bay Area
Development of Analytical methods for data analysis and design optimization on a regular basis:

• Developed Regression models + trained them using field and physical test data to minimize the cost through stochastic gradient descent.
• Developed and trained Classification Models using Labeled field data
• Developed pipelines to automate data pre/post-processing as well as fit the models to data 
• Developed scripts on top of design validation software to perform statistical analysis on the initial design and guide test engineers to the right locations in the field to measure data.
• Continuously trained models and worked on the correlation between experiments and simulation data to ensure the continous improvement of precision and recall of developed models.

### Product Engineer - Analytics and Optimization @ Ford Motor Company
Jan 2013 – Jan 2016 | Dearborn, Michigan
Development of Analytical methods for data analysis and design optimization on a regular basis:

• Developed Regression models + trained them using field and physical test data to minimize the cost through stochastic gradient descent.
• Developed Classification Models using Labeled field data and continuously trained them
• Developed pipelines to automate data pre/post-processing as well as fit the models to data (language: Python/C++/TCL/TK) 
• Developed scripts on top of design validation software to perform statistical analysis on the initial design and guide test engineers to the right locations in the field to measure data.
• Continuously trained models and worked on the correlation between experiments and simulation data to ensure the continous improvement of precision and recall of developed models.

### Postdoc Research fellow @ University of Michigan
Jan 2012 – Jan 2013 | Ann Arbor - ( Energy Storage and Materials Simulation Lab)
Atomistic Computer Modeling of Li-ion Battery


## Education
### Software Developer
UC Berkeley Extension

### PhD Exchange Student in PhD Exchange Student
University of Michigan

### Doctor of Philosophy - PhD in Computational Mechanics and Applied Mathematics
National University of Singapore

### Master of Engineering - Applied Mathematics
Isfahan University of Technology


## Contact & Social
- LinkedIn: https://linkedin.com/in/nasibehnourbakhshnia
- Website: https://nasib-portfolio.herokuapp.com
- Website: https://medium.com/@nasibeh325
- GitHub: https://github.com/NasibNia

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Source: https://flows.cv/nasibeh
JSON Resume: https://flows.cv/nasibeh/resume.json
Last updated: 2026-03-22