# Richa Bhattacharya

> Software Engineer @ Amazon | UC Berkeley Computer Science and Data Science

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

Driven to create, inspire, and elevate others along the way. Feel free to reach out and connect.

## Work Experience
### L5 Software Engineer @ Amazon
Jan 2023 – Present | California, United States
• Leading cross-functional collaboration amongst senior ICs, TPMs, and dependency teams to design and launch dynamic caching feature to target industry-leading customer TTI (Time To Interactive) during checkout on Amazon.com. 
• Architecting multiple critical pieces for Amazon expansion into grocery business: https://tinyurl.com/amazon-grocery-retail-launch
• Designed and implemented CI/CD testing infra for load test service. Created development playground for user testing and automated testing workflow to prevent regressions and availability risks.
• Launched dynamic traffic shaping feature, enabling selective exclusion/inclusion of requests based on business scenarios to test for high traffic events. Helped opt out over 50 business functions that were over-tested and impacted by load tests.
• Mentored interns/new hires, fostering technical growth and skill development

### L4 Software Engineer @ Amazon
Jan 2022 – Jan 2023
Developed a critical load testing tool to scale the Ordering engine and its hundreds of dependencies for peak events like PrimeDay,BlackFriday, etc. Previously, major outages prevented customers from placing orders; tool ensures ordering ecosystem is tested accurately and to scale so customers do not experience impact.

 Key contributions include:
 • Designed and implemented traffic network infrastructure, leveraging multiple AWS services to scale to hundreds of thousands of transactions per second, ensuring evenly distributed traffic.
 • Developed dynamic traffic safety mechanisms, automating real-time load adjustments and reducing manual intervention.
 • Regularly identified and addressed scaling bottlenecks, optimizing system performance and improving the ability to accurately replay high load scenarios.
 • Hands-on experience running tool for critical events like PrimeDay. Significant contributions to the development of monitoring dashboards, alarms, and performance metrics to track tool health and ensure real-time visibility of system performance.

### Data Science Technical Peer Consultant @ UC Berkeley Division of Data Sciences
Jan 2019 – Jan 2022
• Provide tutoring/mentorship to undergraduate/graduate students for coursework/technology research projects
 • Lead workshops on data analysis techniques and languages
 • Lead the Resume and Career Workshop for the Womxn in Tech Conference at UC Berkeley

### RTC Fellow @ Rewriting the Code
Jan 2019 – Jan 2022

### Software Development Engineer Intern @ Amazon
Jan 2021 – Jan 2021 | Seattle, Washington, United States
Designed and implemented circuit breaker technology for a shipping service team to manage traffic to service dependencies when under duress.

### Software Engineer Intern @ American Express
Jan 2020 – Jan 2021

### Academic Intern for Data Structures (Java) @ UC Berkeley Electrical Engineering & Computer Sciences (EECS)
Jan 2020 – Jan 2020

### Academic Intern for Structure of Computer Programs (Python, Scheme, SQL) @ UC Berkeley Electrical Engineering & Computer Sciences (EECS)
Jan 2019 – Jan 2019

### Website Developer @ Association of Women in EE&CS
Jan 2019 – Jan 2019 | Berkeley
• Redesigned new web interface with development team using HTML, CSS, PHP, and Wordpress for immediate club usage

### CalHacks 2018 Fellowship Award and Mentee @ Cal Hacks
Jan 2018 – Jan 2019
•	Co-founded company after winning CalHacks Fellowship. Received $1000 prize as investment and 12 weeks of mentorship for product development.
•	Product idea: app providing market place for sale of unused, fresh food at discounted prices
•	Conducted over 100 customer interviews; 3 trial runs with 35 successful orders.
•	Focused on website design, IBM Watson API, market validation, customer interviews, research, and analytics

### Student Data Analyst for CHIPPER Study @ University of California, San Francisco
Jan 2018 – Jan 2019
•	Analyzed and categorized patterns in electronic readings of infant crying to investigate possible trends in infant health
•	Used R (dplyr & ggplot2 packages) and Excel to create hypothesis testing statistics and graphs; blocked under features like gender, family size, socioeconomic status, and mother’s health history
•	Created demographic summary for better holistic view of data and to learn more about background of subjects
•	Work was submitted to head mentor for presentation on findings from study in April 2019


## Education
### Bachelors in Computer Science and Data Science
University of California, Berkeley

### Certificate of Entrepreneurship and Technology
University of California, Berkeley

### High School Diploma
The Harker School


## Contact & Social
- LinkedIn: https://linkedin.com/in/richabhattacharya
- GitHub: https://github.com/richab2000

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