
Phaedra Tan //
Data Scientist and AI Engineer
Dynamic and precision-driven AI Engineer and Data Scientist with a background in Computer Science and a history of high-performance discipline as a National Team Athlete. I bring specialized expertise in architecting Singapore-contextualized RAG pipelines, fine-tuning local LLMs (Qwen, Phi), and building full-stack applications with Streamlit, React, and Node.js. I have led initiatives within the Ministry of Manpower (MRSD) to decompose complex job structures for the public sector and automate audit reporting through advanced semantic analysis. A recent technical milestone was the deployment of a secure, automated classification pipeline within a strictly air-gapped environment, enabling the use of GenAI on higher-classification data while maintaining 100% security compliance. Additionally, I engineered predictive risk models using demographic signals and wage trends to forecast firm insolvency, transforming disparate administrative datasets into real-time, actionable insights. Whether optimizing neural networks or managing distributed data systems, I leverage the precision and focus honed in international competition to deliver robust, scalable, and secure technical solutions.
ACTIVE_OPERATIONS // PORTFOLIO
Operation: Semantic Sentry
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Operation: Vector Match
Architected a full-stack RAG system using Cosine Similarity to map entity relationships. Focused on reducing hallucinations in high-stakes datasets.
Operation: Risk Signal
Developed predictive risk models using demographic signals. Integrated secure access controls and governance protocols.
[SECURE_STORAGE: VERIFIED_CREDENTIALS]
ISC2 Certified in Cybersecurity (CC)
AWS_CLOUD_SYNC // Cloud Practitioner
Module 1 of 4: Cloud Concepts & Security