LI, QIONGZHU

Developed an AI solution POC for social media data using RAG, NLP, and machine learning, transforming raw data into an interactive web application and earning strong recognition from top management.

Designed and scaled the AI architecture, leading a 2-engineer team to transition a critical POC into a production-ready product using FastAPI, AWS Native Services (RDS, Glue, Lambda, S3), CI/CD, and Next.js.

Automated business insights by leveraging generative AI for Text2SQL queries and dashboard creation, significantly improving data analysis and decision-making speed.

Fostered internal innovation and broader AI adoption by collaborating with international partners to evaluate AI's impact across pharmaceutical and commercial projects.

Led junior data scientists in China and India to develop diverse question answering systems leveraging Large Language Models, Langchain, and vector databases for various business scenarios.

Developed an AI platform for automating clinical trial lifecycles for major US pharmacy companies, implementing NLP techniques (NER, relation extraction) with BERT, AWS, and Docker.

Designed customized solution architectures and applied machine learning algorithms for anomaly detection and user conversion prediction, collaborating cross-functionally in SCRUM mode to accelerate sales.

Organized and led junior coworkers in preparing POC demonstrations for business pitches, including Generative AI and recommender systems, and regularly shared technical knowledge across diverse audiences.

Led a high-impact anomaly detection project for over 1 billion WeChat Pay customers, applying social network analysis, deep learning, ML, and NLP, recognized for its successful implementation.

Delivered comprehensive end-to-end data solutions for overseas products, covering data wrangling, model building, strategy development, and automated deployment and visualization.

Collaborated with cross-functional teams to enhance in-house products for qualitative review, resulting in a significant 50% increase in operational efficiency.

Facilitated effective collaboration by communicating with external consultants and providing presentations to overseas partners for payment license acquisition in Europe.

Leveraged statistical analysis and machine learning models to identify 150 million target customers, leading to the acquisition of 7 million new customers and substantial growth.

Developed scorecard models for credit evaluation and fraud detection, balancing risk, user experience, and revenue, and collaborated cross-functionally to validate and automate these models.

Created robust tracking and reporting systems to monitor and analyze key metrics, regularly presenting data-driven insights and recommendations to board members.

Provided comprehensive data analysis training to coworkers nationwide, fostering a data-driven culture and empowering colleagues with valuable analytical skills.