# Vaenthan Jeevarajah

> Applied AI @ Ramp

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

## Work Experience
### Software Engineer @ Ramp
Jan 2025 – Present | San Francisco Bay Area

### Software Engineer @ Gem
Jan 2024 – Jan 2025 | San Francisco, California, United States
- Built RAG pipeline using Elasticsearch search for automated candidate sourcing, boosting approval rates by 54%
- Implemented RBAC authorization enabling enterprise acquisition and $24K+ ARR growth
- Developed LLM-powered real-time candidate qualification summaries aligned to recruiter criteria
- Created recommendation system using logistic regression to optimize AI sourcing agents

### Software Engineer @ Squint
Jan 2023 – Jan 2024 | Toronto, Ontario, Canada
- Led development on Expert Eyes released on the Vision Pro
- Developed the AR pinning and recall system
- Implemented AR procedure generation using Deepgram and GPT-4

### Software Engineer @ Varicent
Jan 2023 – Jan 2023 | Toronto, Ontario, Canada
- Optimized load up times sitewide by 540% while decreasing costs for RDS clusters by 30% through query optimizations, caching, and materialized views in order to unblock multiple enterprise customers
- Improved file ingestion by implementing async processing through S3 uploads with lambda triggers in order to extend accepted file sizes by over 1200%

### Software Engineer @ Gem
Jan 2022 – Jan 2022 | San Francisco Bay Area
- Worked end-to-end on a feature to split and parse resume book files to create new candidates and enrich existing candidate profiles using Flask, PyMuPDF, and TextKernel and rolled out the feature internally
- Hosted the entire component library using AWS S3 and CloudFront and handled authentication with Lambda and Cognito in an application which now serves over 3000 requests per month
- Created hoverable candidate profile cards for users to surface important information using React, GraphQL and Flask and rolled out to the 1000+ customer base receiving positive feedback from enterprise customers such as Wayfair and Lyft

### Full Stack Developer @ KPMG
Jan 2021 – Jan 2021 | Toronto, Ontario, Canada
- Built out Micro-Frontend Architecture for OnePort, KPMG’s flagship tax management web application used by over 80,000 KPMG tax professionals, in Vue.js with Typescript
- Created API endpoints for various microservices in .NET with Cosmos DB and SQL databases and implemented unit tests and request validation
- Implemented system wide user authorization using OPA for application read/write permissions
- Developed a mock authentication framework for test user authentication through a Node.js server deployed to Azure and validating JWT bearer tokens in .NET API gateway

### Display Solutions Team @ AMD
Jan 2021 – Jan 2021 | Markham, Ontario, Canada
- Increased FreeSync Tier validation frequency by 600% by building an end-to-end pipeline using Python, Groovy and Jenkins to verify latest staging builds at a nightly cadence
- Developed an API in C++ to perform display driver requests to securely determine FreeSync capability information from display metadata (EDIDs)
- Debugged driver performance evaluation web app built with React, Node.js and Python and implemented features to track automation results and analytics
- Performed integration and regression testing to validate base driver functionality and features on a weekly basis on integration branches

### QA Automation Engineer @ Toogood Financial Systems Inc.
Jan 2020 – Jan 2020 | Richmond Hill, Ontario, Canada
- Created 85+ C# test scripts using the Unit Test framework and the Selenium Webdriver to
test .NET applications
- Updated and identified over 200 outdated test scripts and developmental defects to create
vital fixes to these issues, increasing test success rate to 97%
- Developed scripts to parse generated financial documents and verify their figures for
investment firms with over $100 Billion in assets under management

### Research Assistant Intern @ University of Toronto
Jan 2018 – Jan 2019 | Toronto, Canada Area
Assisted in the development of the research methodology for several studies concerning diabetes prevalence in South Asian youth. Specifically targeting upstream determinants of health which predispose this demographic.

In addition, I assist in knowledge translation and editorial decisions.

### SHAD Fellow @ SHAD Network
Jan 2018 – Jan 2018 | Hamilton, Ontario
Attended the intensive STEAM summer leadership program SHAD at McMaster University where I had the opportunity to network with and attend seminars and lectures from industry professionals while gaining critical insight into entrepreneurship.


## Education
### Bachelor's degree in Software Engineering
University of Waterloo

### Agincourt Collegiate Institute


## Contact & Social
- LinkedIn: https://linkedin.com/in/vaenthanj
- GitHub: https://github.com/vaenthan18

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Source: https://flows.cv/vaenthan
JSON Resume: https://flows.cv/vaenthan/resume.json
Last updated: 2026-04-11