
I'm Jiaqi Guo, an AI-focused product manager building multilingual, data-driven products for enterprise automation.
My journey from statistics to AI product management
Columbia University
I'm Jiaqi Guo, an AI-focused product manager with a strong foundation in statistics and data science. Currently pursuing graduate studies in Statistics at Columbia University, with a focus on statistical inference, data-centric AI evaluation, and decision intelligence.
University of Wisconsin–Madison
Before Columbia, I studied Statistics at the University of Wisconsin–Madison, where I explored machine learning, data science programming, and data visualization. Outside of academics, I enjoy boxing and photography—two things that keep me sharp, focused, and creatively balanced.
AI & Product Strategy
My work sits at the intersection of AI, product strategy, and data analytics. I've led the development of LLM evaluation pipelines, CRM tools, and internal AI platforms by translating business needs into clear product specs and working hand-in-hand with engineering and research teams.
LLM & Multilingual NLP
Recently, I've been especially focused on LLM integration, prompt engineering, and multilingual NLP, building systems that support Arabic and other low-resource languages for enterprise automation use cases. Because who doesn't love a good multilingual challenge?
Future Opportunities
I'm excited about opportunities where I can help shape data-driven products, connect technical insights with user needs, and contribute to high-impact teams across product, strategy, or analytics.
Columbia University
I'm Jiaqi Guo, an AI-focused product manager with a strong foundation in statistics and data science. Currently pursuing graduate studies in Statistics at Columbia University, with a focus on statistical inference, data-centric AI evaluation, and decision intelligence.
University of Wisconsin–Madison
Before Columbia, I studied Statistics at the University of Wisconsin–Madison, where I explored machine learning, data science programming, and data visualization. Outside of academics, I enjoy boxing and photography—two things that keep me sharp, focused, and creatively balanced.
AI & Product Strategy
My work sits at the intersection of AI, product strategy, and data analytics. I've led the development of LLM evaluation pipelines, CRM tools, and internal AI platforms by translating business needs into clear product specs and working hand-in-hand with engineering and research teams.
LLM & Multilingual NLP
Recently, I've been especially focused on LLM integration, prompt engineering, and multilingual NLP, building systems that support Arabic and other low-resource languages for enterprise automation use cases. Because who doesn't love a good multilingual challenge?
Future Opportunities
I'm excited about opportunities where I can help shape data-driven products, connect technical insights with user needs, and contribute to high-impact teams across product, strategy, or analytics.
A selection of projects that reflect how I think about AI, product strategy, and data-driven decision making.
Live Product
Click to see the full story

Flagship Document Intelligence Module
I led the product design and rollout of a document intelligence module that turns complex underwriting and policy PDF tables into editable, natural-language guideline drafts. The system combines Azure Document Intelligence, LLMs, workflow orchestration, and human-in-the-loop QA to support multilingual enterprise compliance and underwriting use cases.
Key Impact Metrics
My expertise in LLM development, prompt engineering, and evaluation methodologies.
End-to-end development of language models for enterprise applications, with focus on multilingual capabilities and domain-specific fine-tuning.
Advanced prompt optimization techniques for complex reasoning tasks, multilingual processing, and structured output generation.
Comprehensive evaluation frameworks using standardized metrics, automated testing, and human evaluation protocols.
Specialized expertise in low-resource languages, cross-lingual transfer learning, and culturally-aware AI systems.
Scalable AI solutions for enterprise environments, including compliance, security, and workflow integration.
Robust data processing pipelines for AI training, including data quality assurance and automated validation.
The technical foundation that powers my AI product development and data-driven decision making.
Let's discuss AI product opportunities and collaborations.
Let's chat about opportunities
Perfect for discussing AI product ideas, collaboration opportunities, or just getting to know each other
Google Meet link will be provided after booking
Choose a time that works best for you
Usually respond within 24 hours