# Pooja Agarwal

> Staff Software Engineer @ Meta(Facebook) || MSCS SBU

Location: Mountain View, California, United States
Profile: https://flows.cv/poojaagarwal

I am a Staff Software Engineer graduated from Stony Brook Univ with Masters in CompSc and currently working at Meta with AI Modeling Velocity team.

My past work with Ads ML Infra team at Meta has provided me with industrial experience in dealing with interesting problems like optimizing the training of large scale models using transfer learning like techniques or building a new platform stack to support E2E model authoring to training to prediction.

My past experience includes roles which involves me working as Full stack developer building large scale applications for our customers.
Visit  https://poojaag18.github.io/ to know more about me

## Work Experience
### Staff Software Engineer @ Meta
Jan 2020 – Present | Menlo Park, California, United States
Facebook AI Modeling Velocity Team

### Teaching Assistant @ Stony Brook University
Jan 2019 – Jan 2019

### Student Assistant @ Stony Brook University
Jan 2019 – Jan 2019

### Application Development Analyst @ Accenture
Jan 2017 – Jan 2019 | Pune Area, India
Angular :
Streamlined ticket resolving process by creating an application to monitor ticket status integrated with workflow functionality. Processing time of tickets improved by 35%.
C# :
Optimized search and filter API query time response by integrating Elastic Search and using C# for querying the search engine and writing Rest API’s. Performance of the application was 30% faster.
R :
Reduced the complaint tickets count by 10% using R programming to perform analytics, text mining and prediction. Developed an interactive website using shiny package charts for Data visualization along with the option of saving the visualized components.
Python :
Delivered a tool to simplify the task of querying different databases by providing an option to connect, edit and add the database connections for multiple databases like MySql, MongoDB, Hive etc from a single interface.
MongoDB :
Automated repetitive CRUD tasks on MongoDB for high volume of data by creating a script using C# and XML configuration which resulted in 35% more efficient system then legacy.
Drupal :
Saved 70% of time by automating Drupal task of fixing coder issues related to maintaining coding standards through a script file.

### Software Development Engineer @ Tata Consultancy Services
Jan 2014 – Jan 2017 | Mumbai Area, India
Drupal :
Developed and maintained responsive and multilingual websites on Drupal, handled CMS configuration, site migration and optimizing performance [Bootstrap and Front End Web technologies]
Angular JS:
Worked on developing an application to fetch posted blogs, stories on yammer along with Like and Comment feature using RestApi, combined with NodeJS for optimization using Grunt and Drupal for better website functionalities.


## Education
### Master of Science - MS in Computer Science
Stony Brook University

### Bachelor of Technology (B.Tech.) in Electronics and Communications Engineering
Siksha 'O'​ Anusandhan University


## Contact & Social
- LinkedIn: https://linkedin.com/in/pooja-agarwal18
- Portfolio: https://poojaag18.github.io/

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Source: https://flows.cv/poojaagarwal
JSON Resume: https://flows.cv/poojaagarwal/resume.json
Last updated: 2026-04-12