https://jungbaepark.github.io/blog/tags/riiid/Recent content in Riiid on Jungbae ParkHugo -- 0.152.2en-usSun, 15 Jan 2023 00:00:00 +0000https://jungbaepark.github.io/blog/projects/speech-scoring-interspeech/Sun, 15 Jan 2023 00:00:00 +0000https://jungbaepark.github.io/blog/projects/speech-scoring-interspeech/Developed a prompt-aware automatic speech scoring system at RIIID that solves the cold-start item problem using BERT/CLIP prompt embeddings. Published at InterSpeech 2023 and deployed to SANTA Say TOEIC Speaking app.https://jungbaepark.github.io/blog/projects/knowledge-tracing-contrastive/Sat, 15 Oct 2022 00:00:00 +0000https://jungbaepark.github.io/blog/projects/knowledge-tracing-contrastive/Proposed ACCL and RCL contrastive learning methods at RIIID, achieving state-of-the-art on student modeling across 6 benchmarks (dropout prediction, knowledge tracing). Deployed to Santa TOEIC platform.https://jungbaepark.github.io/blog/projects/ml-infrastructure-riiid/Wed, 15 Sep 2021 00:00:00 +0000https://jungbaepark.github.io/blog/projects/ml-infrastructure-riiid/Built ML model registry (MLFlow) and dataset pipelines (Airflow, Athena, BigQuery) at RIIID, serving 4+ products including SANTA TOEIC, IVYGlobal SAT, CASA GRANDE, and INICIE.https://jungbaepark.github.io/blog/projects/ml-pipeline-acceleration/Tue, 15 Dec 2020 00:00:00 +0000https://jungbaepark.github.io/blog/projects/ml-pipeline-acceleration/Introduced RIIID’s first multi-GPU training, boosting GPU utilization from 25% to 95% and cutting initialization time from 1 hour to 10 seconds. Built CI/CD pipelines with GitHub Actions.