# Jay Lowe

> Enterprise ML Solutions Engineer. Automation == 💰

Location: Berkeley, California, United States
Profile: https://flows.cv/jaylowe

I drive customer growth and expansion while making valuable engineering contributions to the wider customer base. In the last two quarters of 22' I generated ~400k in expansion based new revenue.

Throughout my career, I have specialized in forming solutions engineering teams. I have been instrumental in growing the team and establishing the foundation for the wider solutions engineering engagements.

I lead educating our clients and the community at large by regularly creating content for various media channels, such as the Roboflow and Bifrost.ai blogs.

## Work Experience
### Solutions Engineer Consultant + Founder @ levelseven.ai
Jan 2023 – Present | San Francisco Bay Area
- Reduce costs, improve model performance, and generate value with professional consulting services specialized in the automation and integration of large language model (LLM) technology. 

- Using AWS Sagemaker, simple queue systems (SQS), and AWS Lambda–built systems that enabled end-to-end customer solutions that would integrate with Snowflake, Salesforce, and more.

### Solutions Engineer @ Bifrost AI
Jan 2023 – Jan 2024 | San Francisco Bay Area
- Sole technical lead in the USA territory supporting closes on Bifrost’s government SBIR contracts, Fortune 100 deals, and several mid-market deals; accounting for more than 75% of Bifrost’s total ARR

- Generated over a hundred thousand synthetic images and worked with customers to procure secure AWS instances in Japan, Singapore, and the GovCloud (USA)

### Field Solutions Engineer @ Roboflow
Jan 2021 – Jan 2023
Hire number 9 and first member of the Field Engineering team (grown to 4).
- Enterprise technical account management and solutions engineering services:
-- Generated and lead/assisted in the closing of 400k ARR during 22' Q2 + Q3 
-- Manage over 50% of the companies ARR
-- Played a critical role in several 600%+ NRR enterprise expansion deals

- Customer facing engineering contributions as the voice of the customer:
-- Built and shipped a computer vision UDP docker container that enables customers to perform object detection at 30+ FPS
-- Provide weekly contributions to the Roboflow pip package for active learning, CLIP encoding, n-stage object detection, etc.
-- Regularly spin up remote endpoints with custom solutions such as OCR for customers using AWS ECR and GCP Cloud Run

- Growth and enterprise pre-sales closes:
-- Lifetime average quarterly deal size of 37K for closes I'm tagged in
-- Lifetime average deal close time of 11 days for closes I'm brought into

- Content Creation:
-- Write blog posts and create YouTube videos for the Roboflow channel such as "Precision and Recall in Machine Learning"

### Full Stack Solutions Engineer and Chair of Early Learning @ Make School
Jan 2020 – Jan 2021 | San Francisco Bay Area
• Full Stack Engineering: Developing GitHub submodules in Gatsby that connect to Make School's education learning platform (Mediabook). Examples include:
-- Web Architecture (Web Protocols + Flask + React + MongoDB + Docker)
-- Server-Side Architectures & Frameworks (Express.js + Node.js + unit testing with Mocha Chai + JWT and Passport Auth0 authentication + MongoDB)

• Full Stack Instructor: Updating and teaching front/back end courses to utilize modern frameworks, best coding practices, and development patterns.

• College Team: Designed and implemented one of the first asynchronous learning courses into the Make School curriculum which raised assignment turn-in rates to over 90% and received a student sentiment NPS score of 60+.

• Product Management: Identified KPI metrics via agile methods associated with student technical interview readiness and have taken ownership of Student Technical Readiness.

### Full Stack Solutions Engineer and Instructor @ ORION ACADEMY
Jan 2019 – Jan 2020 | Moraga, California, United States
• Developed a full-stack web application to manage student clinical and administrative information that supported views for the following stake holders: Administrators, clinicians, teachers, and student guardians

• Full Stack Developer - Programmed and reviewed 5000+ lines of code in Mongo, Express.js, React, and Node.js (MERN)

• Technology Coordinator - Implemented a mobile device management (MDM) server capable of deploying critical software updates and online meeting tools for remote learning from a single device

• Instructor - Built a computer science curriculum and founder of the Orion Academy Esports Program for students diagnosed with Asperger’s Syndrome

### Machine Learning Research Intern Leader @ Monterey Bay Aquarium Research Institute (MBARI)
Jan 2018 – Jan 2018 | Moss Landing
• Machine Learning Research - Identified per-channel energy normalization as the highest performing adaptive process for our images

• Python Developer - Programmed a Python module to implement highest performing pre-processing transformations

• Data Science - Leveraged a modeling library hosted on GitHub to visualize topic clusters in TensorFlow

• Pre-processing implementation resulted in 14% label accuracy increase

Management:
- Scheduled/lead weekly meetings using Agile methods between the research and intern teams to mitigate miscommunications
- Managed technology risks by creating solidarity in team programming practices
- Successfully lead team to deliver software modules that raised algorithm labeling above the 70% accuracy mark

### Project Manager and Data Science Intern @ Moss Landing Marine Laboratories
Jan 2017 – Jan 2017 | Moss Landing
• Data Science - Developed a MySQL database and analyzed large data sets from an array of ocean sensors

• Python Developer - Employed Python’s Pandas library to scrape and structure thousands of data points from Excel spreadsheets to populate MySQL database

• Electrical Engineering - Constructed a turbidity sensor using Arduino parts that was 99.22% more cost-efficient than its industry counterpart

Management:
- Developed and proposed a project case in which I outlined a new instrument design and its necessary materials
- Implemented Agile methodologies to ensure cost control and negotiated for optimal budget utilization.
- Successfully delivered a functional turbidity sensor that was 99.22% more cost-efficient than its industry counterpart

### MATLAB Programming Intern @ Naval Postgraduate School
Jan 2016 – Jan 2016 | Monterey, CA
• Programmed features for an event driven MATLAB application to interface with multiple instruments over low-power networks via C

• MATLAB Programmer - Developed a custom GUI by combining several MATLAB libraries to display real-time oscillographs and other data visualizations

• C Programmer - Transformed binary data from open access sonar instruments into usable information via C

Management:
- Outlined a critical path diagram for necessary programming features in a MATLAB application
- Communicated with oceanography department to better measure performance metrics
- Successfully delivered the agreed upon features and presented findings at the SACNAS conference


## Education
### Bachelor of Science - BS in Computer Science
California State University, Monterey Bay


## Contact & Social
- LinkedIn: https://linkedin.com/in/jay-lowe-a21075163
- Portfolio: https://ogjaylowe@gmail.com

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Source: https://flows.cv/jaylowe
JSON Resume: https://flows.cv/jaylowe/resume.json
Last updated: 2026-03-29