Savindu P.

Key Skills

Software

Other

Top Subject Matter

Java SE development for software tooling supporting AI/data pipelines

EEG signal ML modeling and model explainability

Top Data Types

Computer Code Programming

Top Task Types

Fine-tuning

Freelancer Overview

Comprehensive Master Java Developer (Institute of Software Engineering, IJSE). Brings 4+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Other. Education includes Bachelor of Engineering (Honours), University of Westminster (via IIT) (2025) and Bachelor of Science, University of Colombo (2026). AI-training focus includes data types such as Computer Code and Programming and labeling workflows including Fine-tuning, Evaluation, and Rating.

Labeling Experience

NeuralNet project (PyTorch/MNE/Captum/Streamlit)

Other

Built a deep learning model workflow for EEG-based motor imagery classification, including explainability outputs used to interpret model behavior. The experience involved preparing and analyzing multi-channel EEG inputs and visualizing model decisions rather than producing manual labels. It represents AI training and evaluation on scientific/biomedical signals. • Designed a hybrid CNN–LSTM–GRU PyTorch model for EEG motor imagery classification. • Processed and analyzed multi-channel EEG signals using MNE for feature extraction. • Applied Explainable AI via Captum to visualize model decisions. • Developed a Streamlit interface for real-time inference and model behavior demonstration.

2024 - 2025

Comprehensive Master Java Developer (Institute of Software Engineering, IJSE)

OtherFine-tuning

Completed the Comprehensive Master Java Developer program requirements focused on Java SE software analysis, design, and implementation, which supports building data processing/ML tooling. The training is platform and code-centric rather than an annotation workflow. It contributes to the ability to implement preprocessing and labeling pipelines in software systems. • Covered comprehensive analysis, design, and implementation of Java SE solutions. • Included preparation aligned with Oracle Java certifications (OCAJP/OCPJP). • Strengthened backend coding skills commonly used in AI data pipelines. • No explicit labeling of datasets was stated in the resume.

2023

Education

Work History