# Aayushi Sanghi

> ML SWE | UC Berkeley Alum | Ex-Pinterest, Intuit

Location: United States, United States
Profile: https://flows.cv/aayushisanghi

I’m a software engineer - ML on Workday’s ML Data Engineering org. Here, I leverage my skills in software engineering and ML to build out our ML Platform. I am also involved in the Responsible AI team as an RAI champion.

Through my Master’s at UC Berkeley, I focused on trustworthy ML, information policy, and real-world implications of AI systems. I’ve previously worked on Pinterest’s Trust & Safety team, and Intuit’s Identity Platform team.

I’m passionate about all aspects of ML systems, from proof of concepts to productionising, with a growing focus on agents. I thrive in collaborative environments where technology meets practical impact, and I’m always eager to explore new frontiers in machine learning systems.

## Work Experience
### Software Engineer, ML Platform @ Workday
Jan 2023 – Present | United States

### Graduate Student Instructor @ University of California, Berkeley
Jan 2022 – Jan 2023 | Berkeley, California, United States
Quantitative Analysis in Political Science (Spring 2023): In charge of teaching sections, holding office hours, and grading assignments for Master's/PhD students looking to conduct political research. The course focuses on advanced statistical and machine learning concepts as applied to social science.

Quantitative Research Methods (Fall 2022): In charge of teaching labs, sections, and helping with designing and grading assignments/exams.

### Software Engineer - Intern @ Pinterest
Jan 2022 – Jan 2023 | San Francisco Bay Area
Software Engineering Intern with the Trust & Safety team at Pinterest! Built a pipeline to detect and remove false positive CSAM (illegal content, searching is not recommended) images. Reduced the false positive rate by ~45%, improving user and operations agent experience. Used Python, Java, SparkSQL, PinLater, and Airflow.

### Founding Engineer @ SWiiFT
Jan 2022 – Jan 2023 | Berkeley, California, United States
• Led the development of SWiiFT's product, collaborating closely with co-founders on strategy from design to marketing, with a focus on engineering.  
• Participated in the prestigious Berkeley SkyDeck accelerator program (Acceptance rate < 2%). Allowed us to secure key industry mentors from DeepMind, AirBnB, and startups. 
• Hired and mentored three cohorts of UC Berkeley interns, training them on backend engineering fundamentals, and fostering a culture of learning.

### Co-Founder, Tech+Social Good PESU @ CS+Social Good
Jan 2019 – Jan 2022 | Bengaluru Area, India
Creating an alliance of like-minded students who believe that technology can be used for good, and actively work on creating tech for the positive advancement of society.

### Teaching Assistant @ University of California, Berkeley
Jan 2021 – Jan 2022
Fall 2021: TA for INFO 259 (NLP), taught by Prof. David Bamman. Duties involve designing assignments and quizzes, holding office hours, and grading.

Spring 2022: TA for INFO 253A (Front-End Web Architecture), taught by Prof. Kay Ashaolu. Duties involve holding office hours, facilitating labs, and grading assignments.

### Software Engineer @ Intuit
Jan 2020 – Jan 2021 | Bengaluru, Karnataka, India
- Designed a plugin, using React, for QuickBooks Online, allowing users to upload and tailor invoices, attracting over 10,000 users.
- Used RxJava to optimize the data ingestion process for the Quickbooks reports engine, using in-memory database operations, support for import of data from multiple resources, and making code execution reactive.
- Worked in the Global Identity Platform Team to pre-fill never-entered data using third party services.
- Was instrumental in implementation of an address widget and profile widget to minimise data redundancy and inconsistency, and pre-filling existing data.
- Designed & implemented a comparator tool to analyse the transition to a new microservice-based login flow for QBO. (Javascript)

### Software Engineer - Intern @ Intuit
Jan 2020 – Jan 2020

### Teaching Assistant @ Center for Cloud Computing and Big Data, PES University
Jan 2020 – Jan 2020

### Subject Matter Expert @ PESU IO
Jan 2019 – Jan 2020 | Bengaluru Area, India
Teaching an online course called "Algorithms and their Applications in the Real World".

### Summer Research Intern @ NTT DATA Services
Jan 2019 – Jan 2019 | Chennai Area, India
R&D - Data Science, Machine Learning, Deep Learning.

### Summer Research Intern @ Center for Cloud Computing and Big Data, PES University
Jan 2018 – Jan 2018 | Bengaluru Area, India


## Education
### Master of Science - MS in Information Management and Systems
University of California, Berkeley
Jan 2021 – Jan 2023

### Bachelor of Technology - BTech in Computer Science and Engineering
PES University
Jan 2016 – Jan 2020

### The Frank Anthony Public School, Bangalore
Jan 2002 – Jan 2016


## Contact & Social
- LinkedIn: https://linkedin.com/in/aayushi-sanghi

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