Caleb

About Caleb

Experienced data analyst with a demonstrated history of technology-driven process improvement and project management. Proficient in Python, Java and VBA, with a record of self-starting and overseeing technical projects. An expert in finding and communicating insight from data, and comfortable communicating technical concepts to a non-technical audience. A motivated learner and engager, with a record of working on geographically diverse teams and on cross-divisional projects. With a Math and Economics major and Computer Science minor, I\'m at home in the intersection of technology and business.

Experience

1. Director of Software Engineering

   Bridge Investment Group

   Jan 2026 — Present · Seattle, WA, US

   As Director of Software Engineering, I lead the design, development, and delivery of internal software products that power Revenue Management, automation, analytics, and reporting platforms. I oversee engineering strategy and execution, building scalable, high-performance systems that integrate machine learning and AI-driven capabilities to enhance decision-making and operational efficiency.My role spans the full software development lifecycle — from architecture and infrastructure design to data engineering, API development, application architecture, and user experience. I drive engineering excellence by establishing best practices in system design, code quality, DevOps, and performance optimization, ensuring reliable and maintainable solutions.I partner closely with executive leadership and cross-functional stakeholders to translate business objectives into technical roadmaps, aligning engineering initiatives with strategic priorities. By integrating advanced analytics, generative AI, and predictive modeling into core platforms, I enable data-driven operations and continuous innovation across the organization.Key Responsibilities:Lead software engineering strategy and execution for internal technology platforms supporting Revenue Management, automation, and analytics.Architect and scale distributed systems, cloud infrastructure, databases, and data pipelines.Design, develop, and deploy machine learning models and AI-powered applications to drive intelligent automation and decision support.Oversee API architecture and application development, ensuring secure, performant, and user-centric solutions.Establish engineering best practices across SDLC, CI/CD, testing, and system reliability.Collaborate with executive leadership to define technical roadmaps aligned with business strategy.Mentor and lead a team of engineers and data professionals, fostering a culture of innovation, accountability, and continuous improvement.

Education

• Quantic School of Business and Technology

  Master of Business Administration - MBA

• Claremont McKenna College

  Bachelor's Degree, Economics and Math

  2012 — 2016

• University of Washington

  Master of Science - MS, MS - Data Science

  2020

Skills

• Visual Basic
• Accounting
• Java
• Leadership
• Volunteer Training
• Mathematics
• Volunteer Recruiting
• Html 5
• Data Mining
• Python
• Volunteer Management