Alifadhilah Aditya
@alifadhilahaditya
Aspiring data scientist with a focus on AI and machine learning.
What I'm looking for
I am a dedicated and passionate computer science student at Nanyang Technological University, specializing in AI and machine learning. My academic journey has equipped me with a solid foundation in data structures, algorithms, and various machine learning techniques, which I have applied in real-world projects and internships.
During my internships, I have successfully engineered innovative solutions, such as MedicalResNet3D for early Parkinson’s detection and privacy-preserving ML models for secure data collaboration. My experience at organizations like A*STAR and Ernst & Young has honed my skills in data analysis, model development, and system integration, allowing me to contribute effectively to team goals and enhance project outcomes.
I thrive in collaborative environments where I can leverage my technical expertise and creativity to solve complex problems. I am eager to continue my professional journey in a role that challenges me and allows me to make a meaningful impact in the field of AI and data science.
Experience
Work history, roles, and key accomplishments
Medical AI Research Attachment
A*STAR Institute of High-Performance Computing (IHPC)
Jan 2025 - Dec 2025 (11 months)
Engineered MedicalResNet3D for early detection of Parkinson’s by combining 3D scans and tabular clinical data. This enabled more explainable and accurate predictions in longitudinal medical studies.
AI Research Engineer Intern - Privacy ML
Digital Trust Centre
Feb 2025 - Dec 2025 (10 months)
Deployed privacy-preserving ML models on various datasets using federated learning frameworks. Integrated encrypted vertical pipelines to simulate cross-institution collaboration while maintaining regulatory compliance.
Healthcare Data Scientist Intern
National Healthcare Group
May 2025 - Aug 2025 (3 months)
Designed and prototyped digital workflow automation tools to streamline preventive health coaching programs. This reduced administrative overhead by 30% and boosted patient follow-up engagement by an estimated 15%.
AI Research Engineer Intern - Federated Learning
Digital Trust Centre
Jul 2024 - Dec 2024 (5 months)
Developed a decentralized fraud detection pipeline utilizing NVIDIA FLARE for secure data sharing and shipped functional code to PhD researchers. Evaluated various collaborative filtering models and Transformer-based architectures to identify effective approaches for relevance optimization, delivering comparative performance results to stakeholders.
Education
Degrees, certifications, and relevant coursework
Nanyang Technological University
Bachelor of Computing (Honours), Computer Science
2021 - 2025
Studied core computer science principles including data structures, algorithms, and software engineering. Gained expertise in advanced topics such as machine learning, deep learning, natural language processing, and computer vision. Covered foundational mathematics including probability, statistics, linear algebra, and calculus.
Tech stack
Software and tools used professionally
Availability
Location
Authorized to work in
Salary expectations
Job categories
Interested in hiring Alifadhilah?
You can contact Alifadhilah and 90k+ other talented remote workers on Himalayas.
Message AlifadhilahFind your dream job
Sign up now and join over 100,000 remote workers who receive personalized job alerts, curated job matches, and more for free!
