Freelancer

Key Skills

Software

Other

Top Subject Matter

Genomics Domain Expertise

rare disease datasets

genomic data processing

Top Data Types

Audio

Top Task Types

Data Collection

Freelancer Overview

Hong Kong Genome Institute | Software Engineer Summer Intern (Genomic analytics platform and data integrity validation). Brings 3+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Internal, Proprietary Tooling, and Other. Education includes Bachelor of Science, University of California, Berkeley (2025). AI-training focus includes data types such as Computer Code and Programming and labeling workflows including Evaluation, Rating, and Data Collection.

Labeling Experience

Smount HealthTech | Software Engineer Intern (clinical note management and real-time record updates)

OtherData Collection

Developed a clinical note management system enabling real-time record updates across multiple user roles, supporting capture and verification of clinical text data. Implemented offline-first secure local storage and encrypted transmission to protect clinical records while users enter or update note content. Engineered real-time synchronization mechanisms that trigger immediate UI re-renders on incoming data to prevent stale state during record editing. • Created data layer and synchronization workflows for clinical note updates • Applied encryption for local storage and data transmission integrity • Resolved concurrency issues affecting data arrival and UI refresh • Built role-aware record tracking for provider progress updates

2025 - Present

Hong Kong Genome Institute | Software Engineer Summer Intern (Genomic analytics platform and data integrity validation)

Built and validated a genomic analytics platform for importing and analyzing rare disease datasets used in downstream AI/ML research workflows. Developed automated tests that validated genomic data parsers to ensure high data integrity during dataset processing. Implemented optimized backend error handling and logging for genomic data upload pipelines and parser validation. • Focused on dataset quality assurance rather than manual annotation • Ensured reliability of data processing for research teams • Improved observability and reduced manual troubleshooting time • Supported cross-functional data sharing workflows

2024 - 2024

Education

Work History