Lucas Doell

Cornell CS student, software engineer, & founder of lux.dev – crafting web apps that turn data into insights.

I'm a software engineer studying computer science at Cornell University. I'm also the founder of lux.dev LLC, a software development company that specializes in building web applications for data visualization and analytics.

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Lucas Doell

Education

Cornell University

Bachelor of Arts in Computer Science

Ithaca, NY
  • Minor in Artificial Intelligence
  • Relevant coursework includes:
    • Introduction to Computing using Python
    • Object-Oriented Programming and Data Structures
    • Data Structures and Functional Programming
    • Introductory Design and Programming for the Web
    • Mathematical Foundations of Computing

Work Experience

Founder, Lead Engineer @ lux.dev LLC

  • Launched Parsertime, an open-source app for Overwatch 2 data visualization, reaching 500+ users in its first few months.
  • Developed and managed custom analytics and team management features, processing 235,000 player kills and 150,000 player statistics across 100 teams.
  • Led and educated a team of interns to develop software with React, Next.js, Tailwind, and PostgreSQL.
  • Provided community support and troubleshooting via Discord, improving user satisfaction.
  • Authored technical docs to guide users on features, analytics setup, and issue resolution.

Full-Stack Software Engineer III @ NTMR Esports LLC

  • Led a team of frontend engineers to deliver critical features, ensuring consistent meeting of investor milestones and deadlines.
  • Architected and implemented scalable, accessible, and performant frontend solutions using React and TypeScript.
  • Established frontend development standards and best practices, improving code quality and team velocity.
  • Mentored and upskilled mid-level engineers and interns in React, TypeScript, and modern web development practices.
  • Drove technical decisions for frontend architecture while maintaining a focus on user experience and engagement metrics.

Full-Stack Software Engineer @ Appstle Inc.

  • Built new commerce features for 30,000+ Shopify merchants.
  • Redesigned analytics for improved UX, reducing customer service interactions.
  • Leveraged Intercom customer outreach platform to reduce churn and lower subscription cancellations.
  • Wrote and maintained clean code in Java and TypeScript for backend and frontend.
  • Migrated legacy code from JavaScript to TypeScript, reducing bugs and boosting development speed.
  • Developed internal tools to customize features for enterprise merchants.

Connectivity Expert @ AT&T Inc.

  • Effectively presented products and services to and develop relationships with potential clients.
  • Exceeded sales goals by selling products and services to new and existing customers, consistently being a top performer in the upstate New York market.
  • Stayed up to date with product knowledge, accessories, pricing plans, promotions, and service features.
  • Prospected and built relationships with local small businesses to increase outreach.

Skills

React.js
TypeScript
Next.js
Node.js
Data Visualization

Featured Projects

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Parsertime

November 2023-Present

An open source, full-stack TypeScript Next.js web app for Overwatch players to track scrimmage stats, featuring team management and performance analytics. Documentation and support included.

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CaffTrack (Hackathon Project)

February 2025-February 2025

Developed a caffeine tracking app in a three-person team for Cornell's Big Red Makeathon, using Vite, React, Django, Cloudflare R2, and Google Gemini. Awarded ”Best Software” for innovation and execution.

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Other Projects

Cassini

January 2025-Present

A comprehensive analytics and observability suite written in TypeScript and Go. Fully open source and self-hostable. Designed to be easy to use and extend.

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OWL Bot

March 2023-July 2023

Overwatch League data-fetching Discord bot using TypeScript, integrating web scraping and API microservices.

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Sports Stats Web Scraper

September 2022-December 2022

During studies at Cornell, my partner and I developed an OCaml-based web scraper for sports statistics, focusing on command-line interaction and data parsing.

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