# Arun Sundaresan

> SWE @ Meta | CS @ UC Berkeley

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

## Work Experience
### Software Engineer @ Meta
Jan 2024 – Present | Menlo Park, California, United States
- GenAI for Investigations
- Product Change Safety

### Researcher, Networked Systems Lab @ UC Berkeley Electrical Engineering & Computer Sciences (EECS)
Jan 2022 – Jan 2024 | Berkeley, California, United States
- Redesigning the way we collect micromobility data
- Designing and building a data exchange platform for IoT devices

### Software Engineer Intern @ Datavant
Jan 2023 – Jan 2023 | San Francisco, California, United States
- Integrated the 3rd-largest Electronic Health Record (EHR) company in the US into a system to retrieve patients’ medical records regardless of EHR software employed in hospitals
- Revamped a React frontend, allowing non-technical colleagues to configure settings for thousands of record retrievals per day

### Software Engineer Intern @ Grabango
Jan 2022 – Jan 2023 | Berkeley, California, United States
- Built a visual log app to automate validating and improving the performance of Computer Vision algorithms for identifying over 1,000 products in retail environments (for a frictionless checkout company) using Streamlit, OpenCV, and Google Cloud
- Developed an image embedding explorer web app to analyze images from in-store cameras to identify similar products, and reduced image processing time by 50% with a caching feature
- Created a 98% accurate semantic segmentation model to detect occlusions of products, including pipelines to aggregate and preprocess images, using OpenCV and Gluon

### Software Engineer Intern @ Datavant
Jan 2022 – Jan 2022 | San Francisco, California, United States
-Designed & developed a local mirror of the identified data platform serving the largest health data ecosystem in the US to accelerate development cycles using FastAPI, Azure, and Docker Compose

### NLP Researcher, Haas Neuroeconomics Lab @ University of California, Berkeley, Haas School of Business
Jan 2020 – Jan 2022 | Berkeley, California, United States
-First Author for Accepted Paper in NAACL 2022 SRW
-Under Professor Ming Hsu and Postdoctoral Scholar Zhihao Zhang
Developing novel computational models for semantic fluency with applications in market research
-Created and implemented techniques based on PageRank, Wikipedia scraping, and state-of-the-art language models
-Collected and used large-scale text corpora to replicate human responses in past experiments
-Worked in a cross-functional group of computer scientists and neuroscientists

### Software Development Intern @ SkyGeni
Jan 2020 – Jan 2020 | San Jose, California, United States
-Built and fine-tuned Machine Learning models to identify factors that contributed to top sales performance, increasing sales performance by up to 20 percent
-Designed and implemented pipelines to automate data aggregation, cleaning, and visualization to facilitate rapid insight generation
-Developed synthetic data-based approaches to compensate for sparse real-world data


## Education
### Master of Science - MS in Computer Science
University of California, Berkeley
Jan 2023 – Jan 2024

### Bachelor of Arts - BA in Computer Science
University of California, Berkeley
Jan 2020 – Jan 2023

### High School Diploma
The Harker School
Jan 2016 – Jan 2020


## Contact & Social
- LinkedIn: https://linkedin.com/in/arun-sundaresan

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