Hakwoo Kim

Director (Principal Data Scientist) Ai Center of Excellence @The Hartford

New Albany, OH, US
EMAILS
h••••••••@thehartford.com
MOBILE NUMBERS
+91 *********19

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WORK HISTORY

Sep 2025 — Present

Director (Principal Data Scientist) Ai Center of Excellence @The Hartford

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Columbus, OH, US

Agentic AI development > Agents analyzing insurance documents > Agents automating insurance workflow system- Parallel document extractions with LLM models- Technical leadership across AI/ML projects- Cloud resources management via Terraform- CI/CD pipeline deployment with AWS Service Catalog and CodePipeline- GitHub documentation management- AI education

EDUCATION

2005 — 2006

University of Michigan

MA, Kinesiology

1996 — 2003

Yonsei University

Bachelor of Business Administration (BBA), Business Administration

N/A

IBM training

Hadoop training, Hadoop

2009 — 2011

University of Michigan - Stephen M. Ross School of Business

MBA

2006 — 2009

The Ohio State University

PhD, Sport Analytics and Management

ABOUT HAKWOO KIM

I am an hands-on data science & AI/ML engineering leader with deep expertise in the full data science life cycle, from business problem structuring to data collection, model development, deployment, and monitoring. I specialize in predictive modeling, agentic AI, deep learning (LLMs), containerization (Docker, Kubernetes), streaming services (Kafka), and cloud-based AI solutions (AWS, GCP, Azure). Some key accomplishments include- Developed an accelerated underwriting risk model, reducing processing time by 40% and enabling more individualized insurance rate plans- Developed time-series forecasting models for various metrics (e.g, sales, loss, quotes) per a combination of states and business lines, resulting in improved risk, pricing, and operation management and sales increase by 20%- Developed an LLM-powered call center log summarization model, reducing manual review time by 50%- Developed an LLM searchbot AI agent, reducing time to find relevant code scripts from github repos by 30%.In addition, my areas of experiences include but not limited to- Risk profiling and segmentations (underwriting, pricing, claim, fraud)- Customer profiling and market segmentations - Time-series forecasting - Customer acquisition, cross-selling and retention - Large language models - Vision transformers for warehouse inventory classifications - Survival analysis for life insurance payout - Frequency and severity predictions for rare eventsI have been consistently exploring AI agents during my personal time- Repository searchbot, job onboarding chatbot - Langchain & Langgraph, OpenAI SDK, AWS OpenSearch Service, AWS Bedrock agent - My personal project repository: https://github.com/woo1976/llm

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