Open to opportunities

qingqing he

@qingqinghe

Message

I am a senior data scientist optimizing LLMs and experiments for product growth.

China

Message

What I'm looking for

I seek a product-focused role leading LLM evaluation and large-scale experimentation, applying causal analytics and A/B testing to drive measurable model and business impact within a collaborative, impact-oriented AI team.

I am a senior data scientist with 5+ years at leading tech firms, specializing in LLM performance optimization, causal analytics, and large-scale experimentation.

At Tencent and Kuaishou I designed evaluation benchmarks and prompts and researched ranking algorithms (Elo/TrueSkill) for robust LLM assessment. I developed A/B testing systems, built monitoring dashboards, and managed evaluation datasets (cleaning, Hive storage).

I optimize recommendation efficiency and ad product performance through causal inference, uplift modeling, and advertiser lifecycle analysis, supporting high-impact campaigns. I seek roles where I can lead LLM evaluation and experimentation to drive measurable model and business improvements.

Experience

Work history, roles, and key accomplishments

Current

Senior Data Scientist

Current

Tencent

Feb 2024 - Present (1 year 7 months)

Researched ranking algorithms (Elo/TrueSkill) and data filtering methods for LLM evaluation, designed evaluation benchmarks, prompts, and analysis frameworks. Developed A/B testing systems for LLM applications and managed evaluation datasets with Hive-backed monitoring dashboards.

Elo TrueSkill A B Testing Prompt Engineering Hive Python SQL Data Cleaning Monitoring

Data Analyst

Kuaishou

Nov 2020 - Feb 2024 (3 years 3 months)

Optimized recommendation efficiency through user behavior analysis and uplift modeling, and developed advertiser lifecycle and churn monitoring systems. Supported Olympic/CNY campaigns with traffic forecasting and KPI design.