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Software Engineering student passionate about AI, machine learning, and building things that solve real problems. I’ve led programming and research teams across astronomy AI, robotics, and accessibility-focused projects, working primarily with Python and software development. I enjoy turning ambitious ideas into working projects, learning new technologies quickly, and collaborating with others to build something meaningful.…Software Engineering student passionate about AI, machine learning, and building things that solve real problems. I’ve led programming and research teams across astronomy AI, robotics, and accessibility-focused projects, working primarily with Python and software development. I enjoy turning ambitious ideas into working projects, learning new technologies quickly, and collaborating with others to build something meaningful.

Maxwell Gunnar Hanson

Software Engineer, Programmer, Data Scientist, +3

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Software Engineering student passionate about AI, machine learning, and building things that solve real problems. I’ve led programming and research teams across astronomy AI, robotics, and accessibility-focused projects, working primarily with Python and software development. I enjoy turning ambitious ideas into working projects, learning new technologies quickly, and collaborating with others to build something meaningful.…Software Engineering student passionate about AI, machine learning, and building things that solve real problems. I’ve led programming and research teams across astronomy AI, robotics, and accessibility-focused projects, working primarily with Python and software development. I enjoy turning ambitious ideas into working projects, learning new technologies quickly, and collaborating with others to build something meaningful.

Available to hire

Software Engineering student passionate about AI, machine learning, and building things that solve real problems. I’ve led programming and research teams across astronomy AI, robotics, and accessibility-focused projects, working primarily with Python and software development. I enjoy turning ambitious ideas into working projects, learning new technologies quickly, and collaborating with others to build something meaningful.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Intermediate

Intermediate

Intermediate

Intermediate

Beginner

Language

Amharic

Advanced

Work Experience

Embedded Systems Motorcycle Wheelie Control Prototype

January 1, 2026 - Present

Designed a prototype motorcycle stability and wheelie detection system using IMU sensor data. Programmed STM32 microcontroller firmware in C to process real-time sensor data. Integrated MPU6050 IMU to track pitch angle and acceleration. Implemented interrupt-driven data handling to support responsive system behavior.

Software Lead (Tidal Disruption Event Detection Pipeline) at Embry-Riddle Aeronautical University

January 1, 2026 - Present

Built a data ingestion pipeline using Python (requests) to retrieve transient event light-curve data from ZTF and ALeRCE APIs. Cleaned and transformed datasets with Pandas and performed feature extraction for machine learning. Developed and trained scikit-learn models to classify and identify candidate TDE events, using AI-driven feature extraction to help distinguish TDEs from other transient phenomena. Created automated light-curve visualizations with Matplotlib to assist in classification and analysis.

Prototype Developer (Wheelie Control) at Embedded Systems Project

January 1, 2026 - Present

Designed and programmed a motorcycle stability and wheelie detection prototype using IMU sensor data. Wrote STM32 microcontroller firmware in C to process real-time sensor inputs and integrated an MPU6050 IMU to track pitch angle and acceleration. Implemented interrupt-driven handling for responsive behavior and used MPU6050 readings to support wheelie/stability detection logic.

Softw are Lead at Embry-Riddle Aeronautical University

January 1, 2026 - Present

Built an ingestion and analysis pipeline for TDE detection using Python and astronomy APIs (ZTF and ALeRCE). Used requests and Pandas for data retrieval, cleaning, and feature extraction from transient light curves. Developed and trained machine learning models with scikit-learn to classify and identify candidate TDEs, applying AI-driven feature extraction to distinguish TDEs from other transient phenomena. Created automated Matplotlib visualizations to aid in classification and research workflows.

Velo ciplo t – Scientific Data Visualization Platform (Project)

January 1, 2025 - December 31, 2026

Developed a web-based scientific visualization platform for analyzing propulsion and telemetry datasets. Implemented interactive plotting tools for time-series sensor data analysis. Built a frontend with SvelteKit and modern JavaScript, and created backend Python scripts for data cleaning and transformation. Designed a modular architecture to enable future integration with machine learning models.

Developer at Velo cip lo t – Scie n tif ic Data Vis ualiz a tio n Pla tfo rm

January 1, 2025 - January 1, 2026

Developed a web-based scientific visualization platform to analyze propulsion and telemetry datasets. Implemented interactive time-series plotting tools and built the frontend using SvelteKit and modern JavaScript frameworks. Created backend Python scripts for data cleaning and transformation and designed a modular architecture to support future machine learning model integration.

Research - Softw are Lead at Embry-Riddle Aeronautical University

January 1, 2025 - Present

Led research on detecting Tidal Disruption Events (TDEs) using astronomical survey data and machine learning techniques. Built a data ingestion pipeline to retrieve transient event light-curve data from astronomical APIs including ZTF and ALeRCE. Processed and analyzed large datasets with Python, Pandas, and Matplotlib; extracted physical features such as duration, peak magnitude, decay rate, and color evolution. Developed algorithms to identify candidate TDE events from large transient datasets and produced automated visualizations of light curves to support classification and analysis.