Yingchi Pei is a Staff Data Scientist based in Singapore with nine years of experience building production-grade ML and NLP systems for large-scale platforms. Currently at Indeed, she applies prompt engineering and fine-tuning with LLMs to improve employer–jobseeker matching and reduce poor-quality matches, continuing a track record of shipping end-to-end pipelines—from SageMaker model training and gRPC/REST deployment to monitoring. Her background spans telco footfall analytics, blockchain fee prediction, and ranking/summarization modules, blending classical ML, neural networks and practical feature engineering. Yingchi pairs academic rigor (MSc in AI from NUS) with hands-on big-data tooling (Spark, Hadoop, Airflow) and a developer mindset evidenced by reusable Python services and text-processing libraries. Outside work she channels curiosity into personal writing and diverse hobbies like taekwondo and piano, reflecting a creative, persistent approach to problem solving.
9 years of coding experience
8 years of employment as a software developer
Passed Level I of the CFA Program, Passed Level I of the CFA Program at CFA Institute
Master's Degree Artificial Intelligence in Computer Science, Master's Degree Artificial Intelligence in Computer Science at National University of Singapore
Contributions:12 commits, 2 PRs, 10 pushes in 5 months
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