Hi, I'm Andrew Sumner

Software Engineer, currently working in fintech. I build tools for the communities I'm a part of.

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Selected Highlight Project and Corresponding Design Documents

Parkscout.io - National Park Mapping Tool and Trip Planner

This ongoing project is intended to be a one-stop shop for all the data and tools needed to plan a trip to a U.S. National Park.

About Me

Software Engineer with 4+ years of experience across fintech, quantitative finance, and banking. I specialize in full-stack development with strong backend expertise, utilizing Python, TypeScript, Kotlin, Ruby/Rails, and AWS.

Currently at Upstart, I focus on borrower verification systems, enhancing data accuracy and approval rates through features like new credit reporting integrations and customer-facing UI improvements to minimize friction. Previously at Capital One, I designed and built high-impact products including a real-time marketing decision platform handling 100+ million daily records and a self-service cashier's check kiosk deployed across multiple locations. I also spent a short time at Campbell & Company, where I automated analytics and data workflows used by quants.

With a background in both computer science and physics, I bring strong analytical and problem-solving skills to each project, helping me navigate complex challenges across the full development lifecycle. I'm passionate about bringing practical, robust solutions to life.

In my personal time, I love staying up-to-date with new technologies and am currently building a web app focused on outdoor recreation, powered by large language models. If you're interested in connecting, let's chat!

Experience

Software Engineer, Borrower Verifications at Upstart

May 2025 - Present

Quantitative Software Engineer at Campbell & Company

December 2024 - April 2025

Senior Associate Software Engineer at Capital One

August 2021 - October 2024

Education

University of Maryland, College Park

BS in Computer Science & BS in Physics, 2021

Minor in Technology Entrepreneurship • GPA: 3.52

Skills

Programming Languages

KotlinRuby/RailsPythonTypeScriptJavaScriptSQLGoBashHTML/CSS

Frameworks & Libraries

Node.jsNext.jsRuby on RailsReactTailwind CSSSeleniumPlaywrightNumPyPandasSciPyTensorFlowKerasPyTorchScikit-learnPySpark

Tools & Platforms

AWSGitHubGitNew RelicSnowflakeElasticsearchPagerDutyConfluenceJiraSplunkJenkinsDockerMySQLPostgreSQLLinuxPostmanSupabaseVercelGrafanaDatadogGoogle GeminiClaudeCursorCopilot

Other Skills

gRPCREST APIsGraphQLAgile/KanbanMicroservicesBack-end DevelopmentFull-stack DevelopmentData Processing

Certifications

AWS Cloud Practitioner

Featured Projects

parkscout.io - National Parks Explorer

Interactive web application for visualizing and exploring U.S. National Parks data. Ongoing project.

ReactTypeScriptTailwindNext.jsLeafletVercel
View Project →

Park Visitation Analysis

Data analysis and visualization of National Park visitor patterns over time, including seasonal trends and impact of various factors on park popularity.

PythonPandasNumPyJupyter
View Project →
Land Use Prediction

Land Use Prediction

Built a convolutional neural network using TensorFlow to classify land use from satellite imagery with 85% accuracy on test data.

PythonTensorFlowGoogle Earth API
Panorama Image Stitching

Panorama Image Stitching

Developed complete image stitching solution implementing advanced computer vision algorithms including SIFT features and RANSAC.

PythonOpenCVNumPy
Galaxy Classification

Galaxy Classification

Created CNN using PyTorch to classify galaxy types from 18,000 images, achieving 70% accuracy despite hardware limitations.

PythonPyTorchComputer Vision