Shane Lawrence
Software Engineer | Machine Learning | Data Science & Quant Analysis
Executive Summary
Who Am I?
I'm a software engineering student at PSU with a passion for data science and analytics. With a strong programming foundation and a passion for data manipulation, I love to build systems that solve real-world analytical problems. I have experience in machine learning, backend development, and data-driven insights.
Outside of academics, I enjoy exploring the latest in cybersecurity, quantitative analysis, and anything automotive.
Core Competencies
- • Penn State: BS Software Engineering (May 2026)
- • Sungkyunkwan University: Data Science Exchange
- • Machine Learning & Data Science
- • Quantitative Analysis & Statistical Modeling
- • Backend Systems & Infrastructure
Featured Projects
What Have I Made?
IAM Attack Path Analyzer
Aug 2025 - Nov 2025
Standalone Python tool that parses IAM and CloudFormation exports into a permission graph, visualizes access relationships, and discovers attack paths with risk scoring.
Career Fair App
Aug 2025 - May 2026
Designing backend architecture for university career fair system. Building NestJS + TypeScript backend with PostgreSQL, CSV import/validation for 150+ companies, and grid-based map generation.
Facial Reconstruction Model
Mar 2025 - Jun 2025
Dual-encoder transformer-based face restoration model for low-to-high resolution reconstruction. Evaluated transformers beyond NLP and trained on custom vision datasets with PyTorch.
Neural Network Recreation of tSNE
Aug 2024 - Dec 2024
Parametric neural network approximation of t-SNE for dimensionality reduction. Five-layer network trained on MNIST with custom KL divergence variant for neighborhood approximation.
Restaurant Mobile App
Aug 2024 - Dec 2024
Android proof-of-concept delivery app built in Kotlin. Implemented points-based loyalty system, local file-based database, and MVC architecture in a 3-person team with Git collaboration.
Data Bias in Machine Learning
Nov 2023 - Apr 2024
Exploratory research on NLP model bias. Reviewed bias mitigation frameworks and investigated knowledge graph integration for fairness-aware decisions and bias reduction.
Quant Trading Model Website
February 2026 - March 2026
Developed a web application for quant trading models using Streamlit. Implemented interactive visualizations, real-time data updates, and user-friendly interfaces for financial analysis.
Personal Website
February 2026 - March 2026
Developed a personal website to showcase projects, skills, and experiences. Implemented a simple and modern user interface using React. Deployed to my own domain for easy sharing.
Technology Stack
What Have I Used?