# Raymond Holmer

> Software Engineer at Meta

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

## Work Experience
### Software Engineer @ Meta
Jan 2021 – Present | San Francisco Bay Area
Artificial Intelligence R&D Team – React/Typescript, NodeJS, Python, HTML5/MaterialUI, GraphQL, AWS
-	Led the implementation of a customer-facing, full-stack web application designed to demonstrate the R&D Team’s Computer Vision and Natural Language Processing capabilities developed in 2022. 
-	Designed and built highly available, fault-tolerant backend architecture optimized to be consistent for deep learning models of varying response times using Lambda, API Gateway/AppSync, DynamoDB, CloudWatch, SQS, EventBridge, Amplify, and S3.
-	Presented the application to over 50 civilian, intelligence, and military agencies at conferences, increasing partnerships by 20% over the previous year.

National Practitioner Data Bank Team – Enterprise Java, KnockoutJS, PL/SQL, HTML5/Bootstrap
-	Implemented design for new Health Care Practitioner Portal system for the National Practitioner Data Bank (NPDB).
-	Integrated Matomo page interaction metrics and increased secure email click-to-open rate from 21.2% to 64.3% by building aggregations into email infrastructure
-	Worked with a production-scale PL/SQL database that supported millions of queries yearly.

### Software Engineer @ Obviously AI
Jan 2019 – Jan 2021 | Berkeley, California, United States
- Created, enhanced, and maintained a test automation application for the ATF’s various eForm and reporting web systems.
- Developed an automated emailable report to communicate regression tests in a readable format to developers, clients, and non-technical QA testers, improved code review efficiency by over 60%.
- Mentored newly onboarded team members and actively improved the onboarding process. Communicated automation methodologies to dev team and external clients though presentations and detailed documentation

### Machine Learning Engineer Intern @ University of California, Berkeley
Jan 2020 – Jan 2020 | San Francisco Bay Area
R&D Applications – Python, NumPy, Pandas, Scikit Learn, UiPath
- Implemented supervised classification and regression models for analyzing network security data


## Education
### Bachelor of Science - BS in Information Technology - Concentration in Computer Science
University of California, Berkeley
Jan 2017 – Jan 2021


## Contact & Social
- LinkedIn: https://linkedin.com/in/raymond-holmer-b0b672263

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