Vancouver, British Columbia

Felix
Reynoso.

Software Engineer Data Scientist

I build thoughtful digital products and the dependable systems behind them—across software engineering, data infrastructure, and applied machine learning.

Portrait of Felix Reynoso

01 Engineer by practice
Data scientist by training

I like difficult problems, clear thinking, and software that earns its place.

I’m a full-stack software engineer and data scientist with experience taking products from early ideas to reliable production systems. My work spans user-facing applications, APIs, cloud infrastructure, data pipelines, analytics, and machine-learning workflows.

I’m especially interested in work where technology meets a consequential real-world problem. I bring a product mindset to engineering: understand the decision, reduce unnecessary complexity, then build the system that makes better outcomes possible.

Current

Vancouver, Canada

Field to Market Canada

Software Engineer

Leading the development of a progressive web application and the systems that support it, helping turn complex agricultural sustainability data into practical tools for producers and industry users.

  • Product and full-stack application development
  • Data architecture, transformation, and reporting
  • Technical direction and cross-functional delivery

Selected technical focus

01

Product engineering

End-to-end web applications, APIs, system architecture, integrations, and production delivery.

02

Data systems

Data modeling, pipelines, analytics, visualization, and infrastructure that turns raw inputs into decisions.

03

Applied ML

Statistical analysis, machine-learning workflows, model integration, and pragmatic AI-enabled products.

04

Cloud & platforms

Containerized services, scalable cloud architecture, CI/CD, observability, and reliable operations.

2021—2023

University of Colorado Boulder

Master of Science
in Data Science

Graduate study across statistical methods, data mining, machine learning, algorithms, visualization, and the design of data-driven systems.

Additional credentials

  • Data Structures and Algorithms SpecializationCoursera
  • Data Mining PipelineCoursera
  • Cybersecurity for Data ScienceCoursera
  • Fundamentals of Data VisualizationCoursera
View credentials on LinkedIn

How I work

Make the problem clear.
Build the simplest strong system.
Leave it better than you found it.

01 Product-minded

02 Evidence-led

03 Systems-oriented

04 Collaborative