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Alifadhilah Aditya

@alifadhilahaditya

Aspiring data scientist with a focus on AI and machine learning.

Singapore
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What I'm looking for

I am looking for a role that fosters innovation and collaboration, where I can apply my AI expertise and contribute to impactful projects.

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

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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.

DC

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.

DC

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 logoNU

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.

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Alifadhilah Aditya - Medical AI Research Attachment - A*STAR Institute of High-Performance Computing (IHPC) | Himalayas