# Preeti Viswanathan

> Software Engineer

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

## Work Experience
### Software Engineer @ Folia Health: The Home-Reported Outcomes Company
Jan 2024 – Jan 2026 | Boston, MA

### Software Engineer @ Actium Health
Jan 2020 – Jan 2023 | San Francisco Bay Area
Data intelligence tools for health systems to optimize patient engagement

• Constructed scalable architecture with Python, AWS Lambdas, and Kafka to integrate with a third-party EHR API  for processing millions of real-time clinical records. Increased efficiency of onboarding new clients by 20%. 
• Built data ingestion pipelines using Python and AWS Lambdas for ingesting 100M+ daily rows of patient and appointment data. Resulted in onboarding  3X more clients.  
• Replaced an expensive legacy product with a modern application for health system call agents. Participated in all aspects of fullstack feature development using React, TypeScript, GraphQL, and SQLAlchemy. Launched beta version in less than 2 quarters. 
• Facilitated seamless collaboration across departments to release new features while maintaining product usability across 15 major health systems.

### Software Engineer @ Rumbleship Financial
Jan 2018 – Jan 2020 | San Francisco, California, United States
A BNPL (Buy Now Pay Later) engine for wholesale payments between buyers and suppliers

• Accelerated new customer onboarding by 50% through the implementation of internal dashboards with Vue.js and Axios, empowering sales teams. 
• Improved scalability of order and transaction system by architecting 2 new microservices, reducing bugs at critical points in the order lifecycle. 
• Maintained robust testing standards by writing Jest tests for GraphQL and RESTful APIs, boosting microservices test coverage by 70%. 
• Eliminated inconsistencies in transaction amounts charged to customers by creating a new data model. 
Built APIs and services using TypeScript, Node.js, and GraphQL.

### Software Engineer, Co-Creator @ CorvoStore
Jan 2017 – Jan 2017 | Remote
CorvoStore is an in-memory, key-value database store inspired by Redis and written in JavaScript and Node.js.

• Developed in-memory key-value data store inspired by Redis. Created core underlying LRU data structure that meets time-complexity benchmarks for O(1) operations.
• Engineered a server matching Redis command API, ensuring seamless interoperability with Redis command-line interface. 
• Designed underlying data structures for storing 5 data types as values. Achieved time complexity parity with corresponding data types in Redis for operations.


## Education
### Bachelor's degree in Neuroscience
Wellesley College


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

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Source: https://flows.cv/preetiviswanathan
JSON Resume: https://flows.cv/preetiviswanathan/resume.json
Last updated: 2026-03-20