# Martin V.

> Sr. Software Engineer @ The Wolff Company | Co-Founder @ Bloom MKTG

Location: Phoenix, Arizona, United States
Profile: https://flows.cv/martinv

At Wolff, I lead the software development team in driving innovation through the creation of iOS Applications, Accounting Dashboards and ML algorithms for predicting key real estate metrics. 

At Bloom, I help business owners book 5-10 additional weekly appointments through our proprietary acquisition software.

## Work Experience
### Senior Software Engineer @ The Wolff Company
Jan 2021 – Present | Phoenix, Arizona, United States
✓ Developing and maintaining a cloud-based real estate management platform in C# .NET, Node.js Express, and React.js that streamlined project management for teams managing billions in assets
✓ Designed a Distributed Architecture for Interest Rate Forecasts into project budgets using Azure Service Bus Queue and Trigger Functions
✓ Transformed the HR experience by vector embedding HR documentation and integrating Azure OpenAI in a TypeScript Node.js API resulting in a GPT5 powered HR chatbot
✓ Collaborating with senior leadership to design and execute software development roadmap, ensuring alignment with business goals and objectives

### Co-Founder @ Bloom MKTG
Jan 2021 – Present | Phoenix, Arizona, United States
Started as a side-project in our parent’s basement, Bloom MKTG became the first AI-driven digital agency to help Financial Advisors increase AUM growth while spending 90% less time on marketing.  

We’ve helped hundreds of advisors from firms like Northwestern, Edward Jones, and UBS - save an average of 27.3 hours per week on marketing tasks.

At Bloom We:
✓ Take Time to Understand Your Unique Goals
✓ Create a Tailor Made Plan to Help You Reach Those Goals
✓ Follow Through With Appointments Directly in Your Calendar

With Bloom MKTG on your side, you can focus on what you do best - making a difference in people’s financial lives.

### Fellow - ODF20 @ On Deck
Jan 2024 – Jan 2024 | San Francisco Bay Area

### Software Engineer, Team Lead (Machine Learning) @ Research and Business Development Center
Jan 2020 – Jan 2021
✓ Guided a team of 4 data scientists & 5 engineers  in the development of an end-to-end machine learning system resulting in the successful automatic parsing of financial documents
✓ Architected a proprietary Decision Tree algorithm that intelligently segmented financial data based on the document features, increasing successful parse rate by 63%
✓ Constructed a Python Django REST API and React JS UI hosted in Docker to upload, edit, & retrieve ML processed financial documents

### Software Engineer Intern @ USAA
Jan 2021 – Jan 2021 | Phoenix, Arizona, United States
✓ Led the development of an HTML Canvas Timeline UI from scratch, including the creation of algorithms to scale and render the timeline according to Military Member API data
✓ Created various React components to house the Timeline UI, including the handling of API calls
✓ Successfully deployed the Timeline UI into a production environment, where it is used daily by hundreds of CSRs

### Software Engineer Intern (Machine Learning) @ FamilySearch
Jan 2020 – Jan 2020
✓ Engineered a Neural Network that has been used to classify over 700 million historical documents from Mexico, Uruguay, and Guatemala
✓ Began with an image classification model performing at 65% accuracy, cleaned the data, and optimized it to over 94% accuracy
✓ Deployed the classifier in a Java Microservice environment through web API calls


## Education
### Bachelor of Science - Software Engineering in Minor in Statistics
Brigham Young University - Idaho
Jan 2018 – Jan 2022


## Contact & Social
- LinkedIn: https://linkedin.com/in/martin-g-vaughn

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Source: https://flows.cv/martinv
JSON Resume: https://flows.cv/martinv/resume.json
Last updated: 2026-03-23