# Neetika Singhal

> Software Development Engineer at Amazon Web Services (AWS)

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

I am a Software Engineer at AWS, graduated from USC with a work experience of 2 years as a Software Engineer at Intuit. My interests are in the field of Machine Learning, NLP, Artificial Intelligence, Data Science & Analytics and Full Stack development.

## Work Experience
### Software Development Engineer 2 @ Amazon Web Services (AWS)
Jan 2022 – Present | Palo Alto, California, United States
Software developer at OpenSearch - find more of my contributions that are open-source here: https://github.com/neetikasinghal

### Software Development Engineer @ Amazon Web Services (AWS)
Jan 2020 – Jan 2022 | Palo Alto, California, United States

### Software Engineering Intern @ PayPal
Jan 2019 – Jan 2019 | San Francisco Bay Area
Confidence Factor for Merchant Monitoring Alerts
•	Streamlined SRE/OPS team experience to understand the importance of alert by including confidence factor to each alert.
•	Built the ETL pipeline and automated the training, deployment of machine learning model using python scripts.
•	Collaborated with team to understand the generation of alert and shortlisted 16 features out of 272.
•	Worked on the front end (NodeJs/React) to display confidence factor and deployed to production.
•	Reduced average time taken to act on an alert by 30%.

### Research Assistant @ USC Computational Social Science Lab
Jan 2019 – Jan 2019 | Greater Los Angeles Area

### Software Engineer @ Intuit
Jan 2016 – Jan 2018 | Bengaluru, Karnataka, India
As a Software Engineer, I have worked in the Platform Engineering team, working on multiple POCs, developing end-to-end services involving backend and frontend. 
Worked on projects, 'Storage as a Service' involving the build of RESTful web services for the allocation, deallocation of storage spaces to desired applications; 'Event Correlation', involving the monitoring of various events flowing into Kafka queue and triggering the engine for the event that matches the criteria, the engine involving various mistral workflows, a rules engine for decision making and a notification service.
Worked on a Machine Learning project, 'SmartLeads' for Quickbooks Online, India to maximise the sales conversion rate by predicting the most potential customers that are more like to buy the product. This solution had a major impact, increasing the sales conversion by 40% . This project involved data extraction from Intuit Analytics Cloud(Hadoop based), cleaning and analysis of data using pandas, removing class imbalance using oversampling, feature engineering, building scikit-learn based MLP Machine learning model with an AUC of 0.959 and preparing the automation pipeline using AWS Sagemaker.

### Research Intern @ Indian Institute of Technology, Delhi
Jan 2014 – Jan 2014


## Education
### Master of Science - MS in Computer Science
University of Southern California
Jan 2018 – Jan 2020

### Bachelor of Technology (B.Tech.) in Information Technology
Indira Gandhi Delhi Technical University For Women
Jan 2012 – Jan 2016

### AISSCE
Salwan Public School, Gurgaon
Jan 2011 – Jan 2012

### AISSE
Chaman Vatika International School, Ambala
Jan 2009 – Jan 2010


## Contact & Social
- LinkedIn: https://linkedin.com/in/neetika-singhal
- GitHub: https://github.com/neetikasinghal

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