Shane Lawrence

Software Engineer | Machine Learning | Data Science & Quant Analysis

Projects Completed
8
Programming Languages
10
Graduating
May 2026
Penn State University

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.

Deep Learning & Computer Vision
Scalable Backend Architecture
Data Science & Quantitative Analysis

Core Competencies

Education
  • • Penn State: BS Software Engineering (May 2026)
  • • Sungkyunkwan University: Data Science Exchange
Key Areas
  • • 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?

L

Languages

Python
SQL
C
TypeScript
C++
Java
Kotlin
Swift
MIPs Assembly
Bash
D

Data Science & Analytics

PyTorch
TensorFlow
Scikit-learn
SciPy
Pandas
NumPy
Jupyter
Matplotlib
Plotly
Statsmodels
XGBoost
LightGBM
I

Infrastructure & Tools

PostgreSQL
SQLite
Git
GitHub
Statistical Analysis
Data Modeling
Data Visualization
AWS
Azure

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