# Megha Jain

> SWE @ Meta | CS @ CMU

Location: San Francisco, California, United States
Profile: https://flows.cv/megha

Hi! I'm a senior majoring in Computer Science and minoring in Innovation and Entrepreneurship at Carnegie Mellon University. Would love to talk about post-quantum encryption and algorithms in cryptography because they are the perfect intersection between theoretical computer science and applied computer systems.

## Work Experience
### Software Engineer @ Meta
Jan 2024 – Present

### Software Engineer @ Cortex
Jan 2023 – Jan 2024

### Software Engineer Intern @ Dragonfruit AI
Jan 2023 – Jan 2023

### 15-330 (Computer Security) TA @ Carnegie Mellon University School of Computer Science
Jan 2022 – Jan 2022 | Pittsburgh, Pennsylvania, United States

### Software Engineer @ Meta
Jan 2022 – Jan 2022 | Menlo Park, California, United States
As part of the PyTorch Compilers team, I developed and optimized a verification interpreter that 70,000+ Meta employees can use to trace the computation of their ML models. After my first project, I discovered inefficiencies in developers’ workflow, so I initiated a project to develop a model debugging UI requiring collaboration across 2 teams.

### 15-150 (Functional Programming) Teaching Assistant @ Carnegie Mellon University
Jan 2021 – Jan 2022
• Lead recitations and office hours to help students understand functional programming and inductive reasoning. 
• Developed homeworks, labs, and other content for this course.

### Software Engineer Intern @ Amazon Web Services (AWS)
Jan 2021 – Jan 2021
• Developed a new logging system which provides storage metering for customers and improves the visibility of usage metrics.
• Utilized multiple AWS tools, including S3, DynamoDB, Batch, and Lambda

### Undergraduate Research Assistant @ Health and Human Performance Lab
Jan 2020 – Jan 2021
• Lead a team that analyzed ecological momentary assessment (EMA) data to find predictors of compliance to this specific method of data collection.
• Cleaned data and built regression models that predict post-semester depression using specific behavioral features.

### Undergraduate Research Assistant @ Carnegie Mellon University - Heinz College of Information Systems and Public Policy
Jan 2020 – Jan 2020 | Pittsburgh, Pennsylvania, United States
• The long term objective of this project is to quantify the changes in the readability of the US Code over time using Natural Language Processing, with reference to the vocabulary of a college-educated citizen, and to characterize the consequences of said readability on outcomes such as compliance with the US federal tax system.

### Research Assistant @ Brigham and Women's Hospital
Jan 2018 – Jan 2019 | Boston, Massachusetts, United States
• The incentive behind this research was to model ligand-binding, for applications in hormone dosages.
• As an intern, I was tasked to create the graphical user interface in Python to help interact with the data modeling code.


## Education
### Bachelor of Science - BS in Computer Science
Carnegie Mellon University

### High School Diploma
Monroe Township High School


## Contact & Social
- LinkedIn: https://linkedin.com/in/meghaj2

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Source: https://flows.cv/megha
JSON Resume: https://flows.cv/megha/resume.json
Last updated: 2026-03-29