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tgdee/README.md

Timothy Goeke-Dee

MS Computer Science Student @ Georgia Tech | Cloud Engineer | AWS Specialist

LinkedIn


👨‍🎓 About Me

I am a full-time graduate student pursuing a Master of Science in Computer Science at Georgia Tech, with a specialization in Machine Learning. My academic journey builds upon three years of professional experience as a Cloud Engineer specializing in AWS infrastructure, where I've developed expertise in automation, security, and scalable system design.

The OMSCS program has significantly expanded my collaborative programming skills and familiarity with diverse technology stacks, providing a strong foundation for overlapping my experience with infrastructure engineer to software development and machine learning applications.

🎓 Education

🏫 Georgia Institute of Technology
Master of Science in Computer Science
Specialization: Machine Learning | Expected Graduation: Spring 2026

📚 Completed Courses:

  • CS 6200: Introduction to Operating Systems
    Graduate-level course covering OS abstractions, mechanisms, concurrency, synchronization, and resource management (CPU, memory, I/O). Includes multithreaded programming and distributed interactions via RPC.

  • CS 6310: Software Architecture and Design
    Principles and concepts for analyzing and designing large software systems, focusing on architectural patterns, design methodologies, and software engineering best practices.

  • CS 6035: Introduction to Information Security
    Comprehensive coverage of information security fundamentals including cryptography, network authentication, secure applications, malware analysis, and privacy considerations.

🎯 Currently Enrolled:

  • CS 6250: Computer Networks
    Advanced study of protocols and algorithms across the Internet protocol stack, covering intradomain/interdomain routing, SDN technologies, BGP security, and network measurements.

🚀 Upcoming Courses (Fall 2025):

  • CS 7646: Machine Learning for Trading
    Application of probabilistic machine learning approaches to trading decisions, including linear regression, Q-Learning, KNN, and regression trees for financial markets.

  • CS 6300: Software Development Process
    In-depth study of software development processes, quality assurance techniques, and maintenance practices from rigid to agile methodologies.

📋 Academic Integrity Note:
Per Georgia Tech's academic integrity policies, I cannot publicly share course assignments or projects. However, I am actively developing an independent portfolio showcasing implementations of concepts learned throughout the program, including network protocols, security frameworks, and machine learning models.

🛠️ Technical Skills

Python Java C Bash PowerShell

AWS Linux Docker Git Ansible

Professional Experience (Cloud Engineering):

  • AWS Services: EC2, S3, CloudFormation, Lambda, CloudWatch, IAM, VPC, ECS
  • Operating Systems: Red Hat Enterprise Linux (RHEL), Windows Server
  • Automation & IaC: CloudFormation, AWS Systems Manager, Ansible
  • Monitoring: Elastic Stack (ELK), CloudWatch Dashboards, Automated Alerting
  • Security: AWS compliance frameworks (STIGs, CIS Benchmarks), Secrets Manager

Academic Experience (Programming):

  • Languages: Java (Object-Oriented Design), C (Systems Programming), Python (Algorithms & ML)
  • Concepts: Operating Systems Design, Network Protocols, Information Security, Software Architecture
  • Development: Collaborative programming, version control, agile methodologies

🏗️ Professional Background

As a Cloud Engineer with three years of AWS experience, I specialize in:

  • Infrastructure Automation: CloudFormation templates, SSM automation documents, Lambda functions
  • Enterprise UEM Solutions: Managing RHEL and Windows EC2 instances supporting mobile device management
  • Security & Compliance: Automated compliance frameworks, IAM policies, security monitoring
  • Cost Optimization: Backup lifecycle management, resource optimization strategies
  • Monitoring Solutions: Custom CloudWatch dashboards, ELK stack implementations

🔍 Current Projects & Interests

  • Independent Portfolio Development: Building personal projects that demonstrate concepts learned in the OMSCS program
  • Machine Learning Applications: Exploring ML techniques for infrastructure optimization and automated decision-making
  • Network Protocol Implementation: Hands-on exploration of routing algorithms and network security
  • Cloud-Native Development: Bridging traditional infrastructure with modern software development practices

🏆 Certifications

  • AWS Certified SysOps Administrator – Associate
  • AWS Cloud Practitioner - Foundational

Currently Studying:

  • Red Hat Certified System Administrator (RHCSA)
  • AWS Certified Machine Learning - Specialty

🎯 Career Goals

Leveraging my cloud infrastructure background and advancing academic knowledge in computer science to transition into software development roles focused on:

  • Machine Learning Engineering
  • Distributed Systems Development
  • Cloud-Native Application Architecture
  • DevOps and Site Reliability Engineering

📫 Connect With Me

LinkedIn Email GitHub


"Bridging the gap between infrastructure operations and software development through continuous learning and hands-on experience."

⭐ This README is a living document that evolves with my academic journey and professional growth

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