ERIC STIGLER
Building resilient, high-performance systems for the digital frontier. Specialized in cybersecurity, machine learning, and software engineering.
MISSION HISTORY
RISK AND ADVISORY INTERN / CYBER ANALYST
- Advanced a strategic IT overhaul for a $60B insurance client by applying cybersecurity principles to analyze cloud integration and develop new strategies for protecting PII.
- Improved data security posture by using Varonis for in-depth statistical analysis of scans, reducing false positives, and implemented NetSkope policies to prevent data leakage.
- Migrated a $30B medical client from ServiceNow to Onetrust for privacy assessment automation, ensuring data integrity and accuracy.
SOFTWARE ENGINEERING INTERN
- Accelerated the deployment of on-prem analytics projects by architecting a new CI/CD pipeline with GitHub Actions and YAML.
- Streamlined the machine learning lifecycle by developing Python scripts for automation, allowing for one-click deployment of code and SQL files from Git to Databricks.
- Increased team efficiency by authoring documentation for the backend workflow, standardizing the team's workflow.
LABS INTERN
- Engineered a complete NLP pipeline in Python to analyze sentiment from COVID-19 vaccine tweets, leveraging Pandas and NumPy.
- Translated raw data into actionable insights by creating interactive visualizations with Plotly and Seaborn.
DEPLOYED SYSTEMS
COMMAND AND CONTROL
[OFFENSIVE SEC]Stealthy Python C2 framework using an encrypted reverse shell to enable remote command execution on Linux systems.
DIFFERENTIABLE LOGIC GATE NETWORK
[AI RESEARCH]Interpretable neural architecture in PyTorch that approximates Boolean logic gates with temperature annealing.
PREDICTING RECIDIVISM
[ML AUDIT]Audited ML models for predicting recidivism, proving simpler models achieved more equitable outcomes.
PREDICTING POPULARITY
[DATA SCIENCE]Engineered ML models to predict song popularity using a Spotify dataset, exploring classification and regression.
Spotify SponsorBlock
[APP DEV]Developed an app that integrates with the Spotify Web Player to automatically skip sponsored segments in podcasts using crowdsourced timestamps.
SYSTEM DIAGNOSTICS
CORE SYSTEMS
SPECIALIZATIONS
ACADEMY RECORDS
BACHELOR OF SCIENCE, COMPUTER SCIENCE
Relevant Courses/Clubs: Principles of ML, Trustworthy ML, Neural Networks, Ethical Hacking, DiRP, ISSS, Austin AI Alignment Reading.
ASSOCIATE OF SCIENCE, GENERAL
CERTIFICATIONS & HONORS
ESTABLISH UPLINK
SECURE CHANNEL AVAILABLE FOR CONTRACT INQUIRIES.