# Arushi A.

> software engineer

Location: Boston, Massachusetts, United States
Profile: https://flows.cv/arushia

I’m a software engineer with experience in machine learning, frontend, full-stack and specializing in Python and TypeScript backends + React, Next and Angular. I integrate AI, machine learning, automation, and data to enhance user experience. I also create AI agents on the side as a hobby.

I’ve worked across web development, machine learning, and AI, building products that make complex data more accessible. I’ve gained industry experience across big tech and fast moving startups.

I’m always excited about solving challenging technical problems and pushing the boundaries of how we interact with AI and automation.

## Work Experience
### Software Engineer @ Stable
Jan 2025 – Present | United States

### Software Engineer @ Prompt360
Jan 2025 – Jan 2025 | United States
stealth mode; helped develop MVP

### Software Engineer @ ChaosSearch
Jan 2023 – Jan 2025 | Boston, Massachusetts, United States
Designed and implemented scalable, responsive features.
Development for OpenSearch Dashboards, API migrations and enhancing data accessibility. Optimized performance with automated testing strategies, improving reliability and user experience. Worked closely with platform and product teams to align solutions with customer and business needs.

### Software Engineer Co-op @ Tesla
Jan 2022 – Jan 2022 | Fremont, California, United States
Developed interactive data visualizations to optimize Tesla’s manufacturing insights, reducing costs. Enhanced frontend and API performance, improving responsiveness for large-scale industrial analytics. Integrated machine learning models using Keras and scikit-learn to enhance predictive capabilities. Collaborated with data engineers to refine data pipelines and improve visualization tools.

### Software Engineer Co-op @ Amazon Fulfillment Technologies & Robotics
Jan 2022 – Jan 2022 | North Reading, Massachusetts, United States
During the 8 month co-op, built a proprietary React component library, standardizing internal UI design for robotics applications. Developed real-time data visualizations for a hardware management system, leveraging Python and computer vision tools. Optimized performance with TypeScript, SASS, AWS CDK, and CI/CD pipelines, ensuring scalability. Partnered with teams to integrate UI components into robotics workflows for improved operational efficiency.

### UX Research Assistant @ Northeastern University Information Technology Services
Jan 2021 – Jan 2021 | Boston, Massachusetts, United States
Conducted UX research to enhance the Northeastern Student Services Portal and Student Hub, improving usability and increasing site traffic by 16%. Analyzed user behavior and implemented design changes to optimize digital experiences. 
Figma, interviews, usability testing, persona testing, hotjar, surveymonkey, A/B testing, focus groups.

### Multiple Roles @ Northeastern University
Jan 2021 – Jan 2021 | Boston, Massachusetts, United States
- Student Ambassador
- Graduate Teaching Assistant- CS 5008 Data Structures, Algorithms and their Applications within
Computer Systems
- Graduate Teaching Assistant- CS 3500 Object Oriented Design
- Graduate Teaching Assistant- CS 3000 Algorithms and Data

### Data Science Research Intern @ Institute of genomics and integrative biology (CSIR)
Jan 2020 – Jan 2020 | New Delhi, Delhi
Analyzed and processed biological datasets of 25k+ SRC Kinase protein mutations to study their role in cancer. Built a predictive model using scikit-learn, TensorFlow, and Keras, reducing wet lab experiment time by 40%. Designed visualizations to interpret mutation significance, assisting researchers in cancer studies.

### Machine Learning Research Intern @ Technical University of Munich
Jan 2019 – Jan 2019 | Munich, Bavaria, Germany
Developed machine learning models using TensorFlow, PyTorch, and OpenCV to predict fish survival rates in hydroelectric turbines: 
- Wrangled multiple raw experimental datasets containing 30k+ values each.
- Worked on underwater motion detection in videos using OpenCV.
- Conducted Python + Machine Learning workshops.

### Summer Research Intern @ ICAR-Indian Agricultural Research Institute
Jan 2018 – Jan 2018 | New Delhi, Delhi


## Education
### Master of Science - MS in Computer Science
Northeastern University


## Contact & Social
- LinkedIn: https://linkedin.com/in/arushia14
- Portfolio: https://arushiagarwal.com/
- GitHub: https://github.com/arushia14/

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Source: https://flows.cv/arushia
JSON Resume: https://flows.cv/arushia/resume.json
Last updated: 2026-03-28