Eric Stigler
CS @ UT Austin // Cyber Analyst // Austin, TX
Current Mission Objective:
Building resilient, high-performance systems for the digital frontier. Specialized in cybersecurity, machine learning, and software engineering.
Mission History
June 2024 - Present
Cyber Analyst (Prev. Risk and Advisory Intern)
Deloitte // Dallas/Austin
CLIENT: Hospitality and Lodging Company (Revenue: $35B+)
- Designed and executed a Difference-in-Differences (DiD) statistical model to measure the true financial ROI of global property renovations, successfully isolating the uplift of core KPIs (RevPAR, ADR, Occupancy) from organic market noise.
- Developed a rigorous, two-stage control group matching algorithm in Python to pair renovated properties with highly correlated unrenovated comparables based on physical traits and financial baselines.
- Automated the generation of executive-ready visual reports, designing dynamic, multi-tiered Seaborn visualizations to clearly communicate complex uplift distributions across dozens of global brands.
INTERNAL: AI / ML Model Foundry Team
- Architected the BMAD Agentic Workflow Evaluation Sandbox, transitioning a linear SAST pipeline into a multi-agent system designed to audit, stress-test, and secure third-party AI agents prior to production deployment.
- Designed a containerized, isolated non-production environment to safely execute target AI workflows, evaluating resilience against chaos-monkey style dependency disruptions and synthetic edge-case inputs.
- Orchestrated specialized LangGraph subagents—including Repository Analysis, OSINT/Vulnerability Research, and QA/Critique—equipped with differentiated retrieval sources to minimize path-dependency and mitigate model hallucinations.
- Engineered a stateful Human-in-the-Loop (HITL) persistent memory architecture, enabling users to review agent behavior, validate sandbox outcomes, and approve evidence-based remediation strategies.
CLIENT: Medical Provider (Revenue: $30B+)
- Migrated privacy assessment automation from ServiceNow to Onetrust, ensuring data integrity and accuracy.
- Engineered custom workflow templates, conditional logic, and routing rules within OneTrust to improve upon existing configurations, optimizing the intake process for cross-functional stakeholders.
- Streamlined the privacy assessment lifecycle by leveraging OneTrust's automation capabilities, reducing manual review bottlenecks and enhancing reporting visibility for legal and security teams.
CLIENT: Insurance Provider (Revenue: $60B+)
- Improved data security posture by using Varonis for in-depth statistical analysis of scans, reducing false positives.
- Implemented NetSkope policies to prevent data leakage.
- Advanced a strategic IT overhaul by applying cybersecurity principles to analyze cloud integration.
- Developed new strategies for protecting PII.
May 2023 - Aug 2023
Software Engineering Intern
General Motors // Austin
- 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.
Jun 2022 - Aug 2022
Labs Intern
CodeDay Labs // Remote
- 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
Emergent Ecology
[Web Dev]Explored the emergence of complex ecological patterns through simple rules.
HTML
CSS
JavaScript
Biology
Evolutionary Algorithm
[ML Algo]Autonomous defense swarm utilizing genetic algorithms and neural networks to evolve agent behavior in real-time.
Genetic Algorithm
Neural Nets
Machine Learning
Panpsychism
[Philosophy]Visually explored the philosophical implications of panpsychism, the idea that consciousness is a fundamental aspect of the universe.
HTML
CSS
JavaScript
Philosophy
Academy Records
May 2025
Bachelor of Science, Computer Science
UT Austin // GPA: 3.61
Relevant Courses/Clubs: Principles of ML, Trustworthy ML, Neural Networks, Ethical Hacking, DiRP, ISSS, Austin AI Alignment Reading.
May 2021
Associate of Science, General
Cedar Valley College // GPA: 3.57
Certifications & Honors
GIAC Security Essentials
GIAC Foundational Cybersec
GIAC Advisory Board
AI A-Z
Deep Learning Spec
Alan Paller Scholar
Cyber FastTrack Scholar
System Diagnostics
Core Systems
Python
OK
Java
OK
C
OK
Linux
Root
Specializations
Cybersec
Secure
ML/AI
Active
Data Analy
OK
SWE
OK
Establish Uplink
Secure channel available for contract inquiries.