Leyton M.

Key Skills

Software

No software listed

Top Subject Matter

Distributed Systems Missions (space science ML data workflows)

Autonomous drone anomaly/novelty detection and real-time ML data pipelines (space research)

Machine learning plugin integration and simulated data generation (NASA OnAIR)

Top Data Types

Computer Code Programming

Top Task Types

Data Collection

Freelancer Overview

Research Intern — Science Data Orchestration / DS&ML Support (NASA Goddard Space Flight Center, remote). Brings 4+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Internal and Proprietary Tooling. Education includes Bachelor of Science, The University of Tulsa (2026). AI-training focus includes data types such as Computer Code and Programming and labeling workflows including Data Collection.

Labeling Experience

Undergraduate Researcher — ML Plugin Integration & Data Preparation (The University of Tulsa)

Data Collection

Helped integrate a machine learning plugin for NASA OnAIR software by preparing simulated and ML-ready datasets. Generated high-dimensional simulated data to support machine learning testing and feature selection experiments. The work focused on producing training/testing data and applying selection algorithms for improved model readiness. • Integrated an ML plugin into NASA OnAIR for downstream learning workflows • Generated high-dimensional simulated data for ML testing • Applied machine learning feature selection algorithms • Supported data preparation activities for ML evaluation

2023 - Present

Research Intern — Real-time ML for Anomaly/Novelty Detection (NASA Goddard Space Flight Center)

Data Collection

Developed real-time machine learning software for anomaly/novelty detection for autonomous drone flight. Led science data collection efforts for the ASTRA team, creating the data pipelines needed for anomaly detection model development. Implemented and tested the components to support ML inference on autonomous operations. • Led science data collection for the ASTRA team • Built real-time anomaly/novelty detection ML software for drones • Assisted in design of custom drone hardware to support data capture • Implemented data/ML tooling with Python and ML libraries for testing and deployment

2025 - 2025

Research Intern — Science Data Orchestration / DS&ML Support (NASA Goddard Space Flight Center, remote)

Data Collection

Served as Lead Developer/Architect on a science data orchestration platform supporting distributed systems missions. Contributed to DS/ML work for the DSM team using Python-based data pipelines for downstream learning workflows. The role involved preparing and orchestrating datasets rather than manual annotation tasks. • Orchestrated science data for real-time or ML-ready consumption • Supported DS/ML development on the DSM team • Used Python and data processing libraries (Pandas/NumPy/Keras) in workflow implementation • Worked within an applied research environment to enable model training/testing

2024 - 2024

Education

Work History