Spencer Levine

Spencer Levine

Computer Science Student | Machine Learning & Software Engineering

I’m a senior Computer Science major at California State University, Northridge with experience in Machine Learning and Full-Stack Development.

I’ve led a development team during my internship at DS Systems and built multiple web applications using Spring Boot, Bootstrap, XGBoost, Scikit-learn, Python, SQL, HTML, CSS, and JavaScript.

I’m passionate about designing intelligent systems and am currently preparing to begin my Master’s in Computer Science starting Fall 2026.

Work Experience

Machine Learning Engineer Intern

DS Systems

August 4th, 2025 - September 8th, 2025

Was the Development Lead of 7 interns to build an AI-powered fraud detection prototype for clients including Healthcare.

I trained, validated, and tested machine learning models using Python, Pandas, Scikit-learn, and XGBoost.

Developed a full stack dashboard using HTML, CSS, JavaScript, and Bootstrap for model result visualization and decision triage.

Built computer vision modules for document verification and simulated drone behavior for automated validation.

Demonstrated leadership, discipline, and initiative by coordinating tasks, managing deadlines, and maintaining consistent delivery quality.

Undergraduate Research Assistant - Compilers & Programming Languages

California State University, Northridge – with Professor Kyle Dewey

November 2025 - Present

Researching programming languages, compilers, automated testing, and software reliability under the supervision of Professor Kyle Dewey.

Working on building a small compiler and programming language, focusing on how design decisions affect testability and correctness.

Developing automated tests, including unit tests and property-based tests, to catch bugs and improve reliability of the language implementation.

Produce Team Member

Whole Foods Market

July 2022 - August 2023

Team Member for the produce section at Whole Foods Market. I opened the store at 6:00 am.

My responsibilities included: Preparing and Organizing Fruit and Vegetable displays and restocking multiple times per day.

I was in charge of offloading deliveries and preparing produce for juices and floral displays.

I was always on time, reliable, hard worker, and worked well with other team members.

I was respectful to my supervisor and the store manager and got along well with others.

Education

California State University, Northridge, August 2023 - May 2026

Bachelor of Science in Computer Science

Coursework: Artificial Intelligence, Machine Learning, Data Mining, Web Engineering, Database Design, Software Engineering, Cybersecurity, Algorithm Design, Language Design and Compilers, Operating Systems, Advanced Data Structures, Automata, Programming Language Concepts, Calculus, Linear Algebra, Statistics and Probability.

Los Angeles Pierce College, August 2021 - June 2023

Associate of Arts and Sciences Degree in Computer Science

I earned my general education degree. Classes towards my degree included: Intro to C++, Assembly and Architecture, and OOP.

Summary

Throughout my academic career, I’ve built a strong foundation in algorithms, data structures, and software design principles.

My coursework and projects have strengthened my problem-solving abilities and deepened my interest in artificial intelligence and data-driven software systems.

Projects

Smart Energy Management - Deep Reinforcement Learning HVAC Optimization

Developed a deep reinforcement learning system to optimize HVAC energy usage in a simulated commercial building environment.

The system used PPO/DQN reinforcement learning agents to learn optimal control policies, targeting a 10–20% reduction in energy cost compared to rule-based baseline control.

Technologies: Python, PyTorch, Stable-Baselines3, OpenAI Gym, TensorBoard

Storm44 - AI Powered Study Tool (Capstone)

Developed an AI platform that converts YouTube videos, PDFs, and notes into flashcards, quizzes, and games to help students study more efficiently using a cloud-hosted RAG pipeline and PostgreSQL Integrated an AI tutor pipeline for personalized study assistance, supporting content ingestion, transformation, and interactive feedback

Storm44 homepage
Storm44 Homepage

Instacart Snack Department Analysis - Data Mining

Performed data mining and exploratory data analysis on the Instacart dataset with a focus on the Snack department.

Analyzed product popularity, aisle distributions, and customer ordering behavior using visualizations and association pattern mining techniques.

Technologies: Python, Pandas, Matplotlib, Seaborn, Data Mining Algorithms

SurfHQ - Surf Community Platform

It’s a website for surfers who want to know information about different beaches using an interactive map, surf feed with posts related to surfing, and a surf marketplace for people to sell and buy surf equipment.

It uses Java, JavaScript, CSS, HTML, and a SQL Database, Leaflet.js and uses Spring Boot and Bootstrap Frameworks.

SurfHQ map with recommended spots
Surf Spots Page

Desktop Database Application - JavaFX & MySQL

Developing a desktop application with a graphical user interface to manage structured data using a relational database.

The application connects a JavaFX front-end to a MySQL database using JDBC for performing CRUD operations and managing relational data.

Technologies: Java, JavaFX, MySQL Server, MySQL Workbench, JDBC MySQL Connector

E-Commerce Platform - Gaming Computer Parts

Created an online store that sells computer parts.

I worked on this project in a group and we used Java, JavaScript, CSS, HTML, and a SQL Database, Spring Boot and Bootstrap Frameworks, and Stripe for the payment system.

E-commerce Home page
Home
Categories page
Categories
Shopping cart
Cart
Filter options
Filter
Checkout form
Checkout
Contact form
Contact
Payment page
Payment
Search bar page
Search

Personal Portfolio Website

Designed and developed this interactive online resume using HTML, CSS, and responsive web design principles. Hosted on GitHub Pages. Includes smooth navigation, a sticky header, and project image galleries built from scratch.

Technologies: HTML, CSS, GitHub Pages, Font Awesome

Skills

  • Programming Languages: Python, Java, JavaScript, HTML, CSS, SQL, C++, C, C#, Scala, Swift
  • Frameworks & Libraries: PyTorch, Stable-Baselines3, OpenAI Gym, Sentence-Transformers, RAGAS, FastAPI, Scikit-learn, XGBoost, Pandas, Spring Boot, Leaflet.js, Bootstrap, Matplotlib, Seaborn, Cross-Encoder re-ranking, JQuery, Joblib
  • Tools & Platforms: Git, GitHub, Azure, Jira, PostgreSQL, TensorBoard, REST APIs, Node.js, Kaggle, Hugging Face, Live Server, Vite, Stripe, Docker, MySQL Workbench
  • Machine Learning: Model Training, Validation, and Testing, Data Preprocessing, Computer Vision, Transcription, Chunking, Embedding, Fine Tuning, Data Visualization, Machine Learning Algorithms, Feature Engineering, Classification Models, Regression Models, Clustering Models, Machine Learning Pipelines, Project Management
  • Software Development: Full Stack Development; Responsive Design; RESTful APIs, Project Management, Frameworks, Libraries, Flexbox, AI Integration, Databases
  • Soft Skills: High Discipline, Great Communicator، Leadership، Team Collaboration، Problem Solving، Software Developer، AI/Machine Learning

Membership Organizations

  • Alpha Epsilon Pi (AEPi) - Member since 2021
  • Association for Computing Machinery (ACM) - Member since 2023
  • CSUN IEEE - Member since 2024
  • Game Development Club - Member since 2024
  • Layer 8 (Cybersecurity Club) - Member since 2023
  • Software Development Club - Member since 2023
  • MataHacks Club - Member since 2024
  • Society of Software Engineers - Member since 2025

Leadership Roles

  • Development Lead at DS Systems - Led a team of 7 interns to build an AI-powered fraud detection prototype.
  • Philanthropy Chair twice for Alpha Epsilon Pi (AEPi) - Organized two events that raised thousands of dollars each and led a committee
  • Project Manager for SurfHQ - Coordinated tasks and managed deadlines for the development of the surf community platform.