Adunola A.

Key Skills

Software

Other

Top Subject Matter

Brain-computer interface (EEG signal processing)

EEG signal acquisition and preprocessing for research

Embedded automation hardware and sensor signal acquisition

Top Data Types

3D Sensor

Computer Code Programming

Top Task Types

Classification

Data Collection

Freelancer Overview

Brain-Computer Interface System (in progress). Brings 7+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include OpenBCI and Other. Education includes Bachelor of Science, Obafemi Awolowo University (2023). AI-training focus includes data types such as Medical, DICOM, and Computer Code and labeling workflows including Classification and Data Collection.

Labeling Experience

Brain-Computer Interface System (in progress)

Classification

Built an EEG acquisition and processing system intended to classify motor intentions. Used OpenBCI and Raspberry Pi to collect raw EEG signals and applied Python-based filtering and basic machine learning models. This constitutes preparing signal data and labels for downstream model training in a brain-computer interface context. • EEG signal acquisition pipeline • Signal preprocessing with Python filters • Basic machine learning for classification • Motor intention classification for assistive tech

2025 - Present

Independent Hardware Developer & Innovator (Freelance Projects)

Data Collection

Developed automation and signal acquisition projects that involved collecting and preparing sensor/EEG data for analysis. Built signal acquisition pipelines using OpenBCI and Python specifically for EEG research workflows. Gained practical experience bridging hardware signal collection with software processing suitable for generating training datasets. • Built signal acquisition pipelines for EEG research • Performed real-time signal processing • Hardware–software integration for data preparation • Developed automation control systems with Arduino/Raspberry Pi

2022 - Present

Embedded Systems Engineering Intern

Other3D SensorData Collection

Designed and tested embedded systems for automation that required integrating sensors and validating signal/debug outputs. Worked on sensor integration, circuit design, and debugging to ensure reliable data collection from hardware components. Contributed to prototyping work that supports downstream interpretation and validation of sensor signals. • Sensor integration for embedded automation • Circuit design and debugging • Prototyping with Arduino and low-level tools • Validation-oriented hardware testing

2020 - 2021

Education

Work History