I am a dedicated computing student with a passion for machine learning and artificial intelligence. I have gained extensive experience through internships and research projects, focusing on using technology to solve real-world problems. I enjoy collaborating with diverse teams and sharing knowledge to foster innovation and growth.

Muhammad Aditya Alifadhilah (Ali)

I am a dedicated computing student with a passion for machine learning and artificial intelligence. I have gained extensive experience through internships and research projects, focusing on using technology to solve real-world problems. I enjoy collaborating with diverse teams and sharing knowledge to foster innovation and growth.

Available to hire

I am a dedicated computing student with a passion for machine learning and artificial intelligence. I have gained extensive experience through internships and research projects, focusing on using technology to solve real-world problems. I enjoy collaborating with diverse teams and sharing knowledge to foster innovation and growth.

See more

Work Experience

Research Attachment at A*STAR Institute of High-Performance Computing (IHPC)
January 1, 2025 - December 31, 2025
Researched advanced ML models for early Parkinson’s disease detection, combining multimodal data to improve prediction accuracy. Optimized model training and inference using CUDA Tensorflow on high-performance GPU clusters.
Research Intern at Singapore AI Safety Institute
July 1, 2024 - December 31, 2025
Engineered privacy-preserving Machine Learning pipelines leveraging Federated Learning to enable secure collaborative AI. Researched recommendation systems and conducted extensive benchmarking of architectures.
Technology Consultancy Intern at Ernst & Young (EY)
June 1, 2025 - December 31, 2025
Engineered and deployed an automated encryption migration script for client devices, enhancing data protection and incident response for enterprise security operations.
Data Science Intern at National Healthcare Group
May 1, 2025 - July 31, 2025
Designed and deployed workflow automation tools using SQL and CI/CD pipelines, reducing administrative overhead and improving patient follow-up.
Research Intern at Energy Research Institute @ NTU
January 1, 2024 - June 30, 2024
Built a digital twin to simulate autonomous vehicles and performed data analysis to identify critical sensor failure patterns and predict collision risks.

Education

Bachelor of Computing (Honours) at Nanyang Technological University
January 1, 2022 - January 1, 2026

Qualifications

Add your qualifications or awards here.