Cho Hyunje

Software Engineer, ML Data

Seoul, Seoul, South Korea

About

Machine Learning Engineer

Experience

  • Software Engineer, ML Data at TwelveLabs
    Oct 2025 - Present · 10 mos

  • 머신 러닝 엔지니어 at 에이블리 (ABLY corporation)
    Jan 2022 - Sep 2025 · 3 yrs 9 mos

    Leveraged various machine learning models and frameworks within the recommendation domain to enhance business impact and elevate the shopping experience for over 10 million monthly active users on ABLY. - General-purpose Product Title-Query Embedding Model Developed a general-purpose embedding model using an SBERT-based architecture with InfoNCE loss (CLIP-inspired) to embed millions of product titles and user-generated queries into a shared embedding space. - Generative AI Infrastructure Designed and built ML backend architecture for ABLY's Gen-AI services, supporting scalable deployment of generative models. - Vector Database Implementation Implemented a vector search platform using Milvus and Elasticsearch. - Visual Product Curation Pipeline Developed a model to recommend visually coordinated products based on the currently viewed product, improving product discovery and enhancing user shopping experience. - Scalable Image Processing Pipeline Developed a distributed image batch processing pipeline using Apache Spark and Ray Clusters, capable of handling over 100 million images and tens of terabytes of data, reducing costs and ensuring reliability. - Enhanced Ray Cluster Infrastructure Improved Ray Cluster stability and efficiency by migrating from AWS EC2 to Kubernetes (KubeRay and RayJob), with task orchestration via Airflow. - Cross-selling Recommendation Models Built complementary product recommendation systems, enhancing cross-category product discovery. - Personalization for New Users Developed cold-start recommendation models to boost initial user retention and conversion.

  • Research Engineer / Team Leader at Buzzni
    Mar 2016 - Jan 2022 · 5 yrs 11 mos

    - Led Buzzni AI Lab as Technical Leader - Developed a fine-grained product category hierarchy and classification model for e-commerce - Designed and implemented a TF-serving-based ML inference architecture - Automated the product category classification pipeline - Trained foundational image classification models from data collection and preprocessing to fine-tuning - Developed an e-commerce product dataset labeling tool

  • Mentor at Global Open Frontier Program
    Jan 2015 - Dec 2015 · 1 yr

    Mentor for Big Data Framework, Machine Learning, Recommender System

  • Lecturer at 정보처리학회 빅데이터 컴퓨팅 연구회
    Jan 2014 - Mar 2015 · 1 yr 3 mos

    한국 정보처리학회 빅데이터 컴퓨팅 연구회 주관 2014 Imagenet Practice Program Lecturer 한국 정보처리학회 빅데이터 컴퓨팅 연구회 주관 2015 Bigdata & Machine Learning Software Winterschool Lecturer