MICHAEL PAPPAS
Columbus
Summary
Dynamic Software Engineer with a proven track record at DataAnnotation, excelling in enhancing AI models through innovative problem-solving.
Overview
1
1
year of professional experience
Work History
AI Analyst
Outlier
09.2025 - Current
- Created programming, math, and finance problems designed to challenge AI models.
- Promoted to reviewer, overseeing and evaluating colleagues' work for quality assurance.
Software Engineer
DataAnnotation
05.2025 - Current
• Managed scalable evaluation workflows using Docker, Kubernetes, and Amazon Web Services
• Reviewed and benchmarked AI generated and human authored responses, ensuring correctness, robustness, and adherence to quality standards across diverse technical domains
• Designed and maintained comprehensive evaluation frameworks and edge case test suites spanning data science, machine learning, algorithms, and core computer science
• Identified systematic model failure modes by creating original high difficulty math and programming problems beyond the reach of state of the art AI systems and producing verified solutions
• Contributed directly to AI model improvement by analyzing weaknesses in reasoning, algorithmic design, and mathematical rigor
• Evaluated and stress tested leading foundation models including OpenAI o4, Gemini 2.5, and Claude 3.7 Sonnet
• Worked across a broad multi language stack including Python, Java, JavaScript, TypeScript, Kotlin, React, Rust, Ruby, SQL, HTML, C, C#, and C++
Education
Masters of Computer Science -
The Ohio State University
05-2025
Bachelors of Computer Science - Minor in Mathematics
University of Minnesota Twin Cities
05-2023
Skills
- Python
- Java
- C and C
- C#
- NET
- OCaml
- Assembly language
- Git version control
- SQL database management
- JavaScript and TypeScript
- R programming
- HTML and CSS
- PHP and Perl
- REST API
- Docker containerization
- Kubernetes orchestration
- AWS cloud services
- Kotlin programming
- Graph theory concepts
- MATLAB analysis tools
Projects
Master's Thesis Research Project: Researched routing protocol design for wireless networks using machine learning with symbolic regression to solve the near shortest path problem in a neural network., Used K-Means clustering to determine clusters of points and learned each cluster separately to a higher accuracy than before., M. Pappas, C. Yung-Fu, A. Arora, Symbolic Regression with Clustering. (Academic Paper)
Customer Prediction Model: Worked on a project that used a dataset of customer purchase histories to predict customer churn using logistic regression and random forest model.
Drone Simulation: Designed a drone simulation that finds the quickest route for delivering a package between multiple targets.
Test Question Software: Created software that takes a block of code and generates test questions for teachers.
Battleship Game: Designed a battleship game with random board set-up.
Math Visualization Tool: Created a tool to visualize all the partitions for any number.
Timeline
AI Analyst
Outlier
09.2025 - Current
Software Engineer
DataAnnotation
05.2025 - Current
Masters of Computer Science -
The Ohio State University
Bachelors of Computer Science - Minor in Mathematics
University of Minnesota Twin Cities