Summary
Overview
Work History
Education
Skills
Timeline
Honors, Scholarships, and Academic Projects
References
Generic

Lane Malone

Summary

A motivated student pursuing a bachelor’s degree in Computer Science with a concentration in Artificial Intelligence (AI) and Machine Learning (ML) and a minor in Data Science at Colorado State University. I obtained my Associate's Degree in Computer Science while working full-time. In addition to my technical proficiency, I have extensive work experience in the food and services industries, where I learned teamwork, customer service, and leadership skills. I contribute effectively to any team, using my experience from both school and work, to ensure projects are completed efficiently, on time, and within scope.

Overview

7
7
years of professional experience

Work History

Bartender

BJ's Brewhouse
10.2025 - Current
  • Manages a high-volume bar and large table sections while serving an extensive food menu and a wide variety of craft and house beers
  • Coordinates drink preparation, order flow, and POS transactions to ensure seamless operations during peak hours.

Bartender / Server

Olive Garden
10.2022 - 08.2025
  • Provided exceptional service in a fast-paced environment with frequent table visits for soup, salad, and beverage refills
  • Handled various guest requirements concurrently, ensuring precision in orders, payments, and POS transactions.
  • Collaborated with a large service team to maintain timing, quality, and guest satisfaction during peak hours.
  • Strengthened skills in prioritizing and communicating by handling persistent service demands.

Server/Waiter

MacKenzie Place Fort Collins
06.2022 - 10.2022

Crew Trainer

McDonald's
02.2021 - 01.2022

Sandwich Artist

Subway
03.2019 - 05.2020

Education

Bachelor of Science - Computer Science

Colorado State University
Fort Collins, CO
05-2026

Associate of Science - Computer Science

Front Range Community College
Fort Collins, CO
05-2024

Fossil Ridge High School
Fort Collins, CO
03-2021

Skills

  • Programming: Java, Python, C, C, R, SQL
  • Tools & Platforms: GitHub, Linux, Big Data tools
  • Machine Learning & AI: PyTorch, NumPy, AI search algorithms, probabilistic reasoning, statistical modeling, regression analysis, data preprocessing, hypothesis testing
  • Computer Science Fundamentals: Data structures & algorithms, object-oriented programming, database design, operating systems, unit testing & debugging, linear algebra
  • Professional Skills: Customer service, multitasking, problem-solving, reliability, teamwork

Timeline

Bartender

BJ's Brewhouse
10.2025 - Current

Bartender / Server

Olive Garden
10.2022 - 08.2025

Server/Waiter

MacKenzie Place Fort Collins
06.2022 - 10.2022

Crew Trainer

McDonald's
02.2021 - 01.2022

Sandwich Artist

Subway
03.2019 - 05.2020

Associate of Science - Computer Science

Front Range Community College

Fossil Ridge High School

Bachelor of Science - Computer Science

Colorado State University

Honors, Scholarships, and Academic Projects

  • Honors & Scholarships
    Phi Theta Kappa Honor Society, Member — Front Range Community College | April 2023 – Present | Recognizes high-achieving students
    Honors Credit, History of Technology and Science — Front Range Community College | 2024 | Honors designation for advanced coursework
    Live Más Scholarship (2nd-Highest Tier) — Colorado State University | 2021 | National scholarship recognizing academic commitment and drive
    Phi Theta Kappa Transfer Scholarship — Colorado State University | 2024 | Merit-based scholarship awarded to transfer students for academic excellence
    Honor Society, Member — Colorado State University | 2025 | Selective honor recognizing sustained academic performance
  • Academic Projects

Animal Image Recognition System (CNN, PyTorch)

• Built a convolutional neural network using transfer learning to classify 10 animal categories from a 26K+ image dataset
• Achieved 97.03% test accuracy while improving model performance through testing and tuning
Lyric-Based Song Genre Classification & Recommendation System

• Designed a machine learning pipeline to classify song genres and recommend similar tracks using lyrics-only analysis
• Processed a 9GB+ dataset with TF-IDF, logistic regression, cosine similarity, and custom Java-based data processing workflows
AI Hangman Simulation

• Developed a Python-based Hangman game with AI/bot players and batch simulation capabilities
• Implemented weighted word frequency strategies and statistical analysis across thousands of simulated games

References

References available upon request.
Lane Malone