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DaerenKim/README.md

🎓 NUS DSA 📈 Quant Finance 🤖 AI Minor 🚀 AI/ML Engineer

About Me

I'm a penultimate-year Data Science & Analytics student at the National University of Singapore, pursuing a second major in Quantitative Finance and a minor in Artificial Intelligence.

My work sits at the intersection of Data Science, Machine Learning, and AI Engineering. I enjoy building end-to-end systems that transform messy, real-world data into scalable products and actionable insights.

Recently, I've been working on:

  • Agentic AI systems and workflow automation
  • Advanced Retrieval-Augmented Generation (RAG)
  • OCR and document intelligence pipelines
  • Predictive modelling and analytics
  • Large-scale data engineering and dashboarding

I'm particularly interested in developing practical AI solutions for finance, insurance and enterprise operations.

🛠️ Tech Stack

Area Technologies
AI / ML PyTorch, TensorFlow, Scikit-learn, HuggingFace, LangChain, LangGraph, LlamaIndex
LLM Engineering RAG, Agentic AI, MCP, A2A, Vector Search, vLLM
Data Science Python, R, SQL, Pandas, NumPy, PySpark
Analytics Tableau, Power BI, Plotly, Streamlit
Databases PostgreSQL, MySQL, Presto, Supabase
Software Engineering FastAPI, Flask, React, TypeScript, Java
Cloud & DevOps AWS, Azure, GCP, Docker, Git

💼  Professional Experience

AI Engineer
AIA Singapore · May 2026 – July 2026
  • Applied LLMs and NLP techniques to solve practical text-based problems using prompt engineering and orchestration tools such as LangChain, LlamaIndex, and Dify.
  • Developed an OCR-based document processing pipeline using Azure Content Understanding and Siamese Neural Networks (SNNs) for signature verification — reduced processing time from 30 minutes to 30 seconds per form (98.3% reduction), saving ~5,000+ manual hours monthly across ~10,000 forms.
  • Trained and deployed machine learning models for real-world use cases; gained exposure to enterprise AI platforms, cloud services, and industry best practices, and built agentic AI use cases.
Data Analyst Intern
Shopee Singapore · Jan 2026 – May 2026
  • Designed and implemented an agentic LLM-driven workflow to automate transcript sampling and tagging, saving 20+ hours/week per market.
  • Created and optimised SQL pipelines processing millions of records to power stakeholder dashboards with timely insights.
  • Performed deep-dive analysis on declining chatbot CSAT and deflection, identifying bottlenecks and coordinating local fixes that restored performance.
Machine Learning Engineer Intern
UST Malaysia · May 2025 – Aug 2025
  • Architected and deployed a RAG-based IT troubleshooting assistant (FastAPI + fine-tuned LLMs), reducing live IT escalations by 12%.
  • Built a scalable vector search pipeline indexing 1000+ pages (embeddings + semantic retrieval) to improve relevance and latency.
  • Implemented multimodal UX with speech-to-text and TTS for accessible, hands-free IT support.

Featured Projects

Project Description Tech
🧠 ChatBuddy Personalized conversational AI with RAG, memory, and multimodal retrieval LLMs, FastAPI, LangGraph
📚 NUS Planner AI-powered academic planning platform with RAG and text-to-SQL PostgreSQL, pgvector, OpenAI
🏢 Company Intelligence Engine Award-winning clustering and business intelligence platform HDBSCAN, GMM, RAG
📈 HDB Price Predictor End-to-end housing price forecasting system CatBoost, Docker, Streamlit
💼 UNFRAZZLE Multi-agent workplace wellness assistant AWS Bedrock, FastAPI, React

🤝  Let's Connect & Collaborate

Let's build something impactful together.

Data Science • Machine Learning • AI Engineering

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