AI Engineer with 1+ years in SaaS Platforms & Machine Learning
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Assessing your cultural and operational fit
Passionate AI/ML Engineer with hands-on experience in building end-to-end AI-powered SaaS platforms, including chatbot and callbot systems with full-stack development, subscription billing, and payment integrations. Skilled in Machine Learning, Data Science, and cloud-based deployments, with a strong focus on scalable and production-ready AI solutions.
University of Moratuwa
BSc (Hons) · Artificial Intelligence
August 1, 2022 – June 30, 2026
St. Mary's College, Mathugama
G.C.E Advanced Level · Physical Science Stream
N/A – May 31, 2020
Vinasai Inc., Canada
AI/ML Engineer Intern / Associate AI/ML Engineer
February 1, 2025 – Present
Canada
EEG-based Motor Imagery Classification using Cross-Subject Transfer Learning and Compact CNNs
January 1, 2025 – January 1, 2026
Final year research project focused on Brain-Computer Interfaces (BCI) and motor imagery classification for assistive device control. Applied advanced signal processing techniques, including Butterworth filtering and Euclidean Alignment, to preprocess raw EEG signals. Designed and developed a subject-independent transfer learning architecture using a Compact Convolutional Neural Network (CNN) to improve classification performance across different users. Concepts & Methodologies: Convolutional Neural Networks (CNNs), Transfer Learning, Signal Processing, EEG Data Analysis, Brain-Computer Interfaces (BCI).
Intelligent Human Capital Management System
January 1, 2024 – December 31, 2024
Industry-based AI software project developed in collaboration with IFS as a second-year software project. Integrated OCR technology, leave prediction system, CV filtering system, and intelligent chatbot functionalities. Developed and integrated the Leave Prediction Model using scikit-learn, pandas, and joblib. Technologies Used: Python, JavaScript, Git, MongoDB, FastAPI, React, scikit-learn, Azure.
Automated Key Management System
January 1, 2023 – December 31, 2023
Developed an IoT-enabled automated key management system to improve security, access control, and key tracking in educational institutions and offices. Implemented fingerprint-based authentication using the AS608 sensor to ensure secure access and prevent unauthorized key retrieval. Technologies Used: Arduino UNO, NodeMCU, C, PHP, MySQL, HTML, CSS, Fingerprint Authentication, IoT.
Cultural Fit Analysis
The candidate's academic projects show a diverse application of AI, from BCI to HCM systems and IoT, indicating a broad interest and adaptability. The current internship at Vinasai Inc. aligns well with a product-focused, end-to-end AI development culture. The involvement in extracurricular activities suggests a collaborative and community-oriented mindset, contributing positively to cultural fit.
Soft Skills & Operational Fit
The candidate demonstrates problem-solving, analytical thinking, communication, collaboration, teamwork, adaptability, and continuous learning through project descriptions and extracurricular activities. These soft skills are crucial for an AI Engineer role, especially in a dynamic environment requiring innovation and teamwork.