Hongjun Jang

Staff Software Engineer at Samsung Research
h0ngjun.jang [at] samsung [dot] com

About

• Staff Software Engineer and Technical Lead with 6+ years of experience in AI, knowledge systems, and production software.

  Current work focuses on Agentic AI memory, on-device RAG, NL-to-Query, semantic retrieval, knowledge graphs, and resource-efficient AI systems.

Work Experience

• Samsung Research , Staff Software Engineer, Mar. 2026 – Present
  

  Designed and developed the graph retrieval layer of an on-device agentic memory platform, covering graph-based retrieval, semantic and vector search, full-text retrieval, and LLM-based entity and fact extraction.
  Lead cross-organizational research with Samsung AI Center Warsaw on SLM-based on-device RAG and automated knowledge graph generation.
  Lead research with Samsung Research UK on on-device NL-to-Query systems for SQL and SPARQL.
  
• Samsung R&D Institute United Kingdom , Software Engineer, Oct. 2024 – Feb. 2026
  

  Collaborated with Oxford Semantic Technologies on the development and productization of a commercial knowledge graph and reasoning engine.
  Designed and implemented OAuth 2.0 authentication for federated SPARQL queries, including concurrency-safe token management, expiry handling, and secure remote data access.
  Developed cross-platform C/C++ interfaces and Azure-based CI/CD infrastructure for reliable deployment across heterogeneous production environments.
• Samsung Research , Software Engineer, Jul. 2020 – Sep. 2024
  

  Developed a core module of the Personal Data Engine for Samsung Galaxy devices, integrating an embedded knowledge graph database and inter-application communication for on-device reasoning and personalized data services.
  Designed and implemented multi-objective reinforcement learning algorithms for decision optimization under conflicting operational objectives.
  Demonstrated approximately 20% power savings in a base-station proof of concept conducted with a leading U.S. telecom operator.
• Republic of Korea Army Cyber Operations Command , Software Engineer, 2018 – 2020
  

  Developed an endpoint security solution for Republic of Korea Armed Forces military networks.
  Designed and implemented Windows client components for secure endpoint deployment and operation.
• Samsung Research , Software Engineer Intern, 2016
  

  Conducted research on mobile object recognition algorithms, including Fast R-CNN and YOLO, with an emphasis on improving inference performance for resource-constrained devices.

Education

• Bachelor of Science in Computer Science , Korea University , Mar. 2013 – Jul. 2020
  

  GPA: 3.88 / 4.5 (93.8 / 100)
  Advised by Professor Sungdeok Cha

Patents and Publications

• "Method and Electronic Device for Providing Information Using Reinforcement Learning"
  Hongjun Jang, Eunkyu Oh, Minsoo Kim, Taehun Kim, Yunhu Ji
  US Patent US20240221018A1, 2024
• "Electronic Device and Operation Method for Deciding Cell On/Off Threshold Based on Traffic"
  Minsuk Choi, Kyungrae Kim, Hongjun Jang, Hyokyung Woo, Seowoo Jang
  US Patent US20230032030A1, 2023
• "Cell On/Off Parameter Optimization for Saving Energy via Reinforcement Learning"
  Minsuk Choi, Kyungrae Kim, Hongjun Jang, Hyokyung Woo, Joan S. Pujol-Roig, Yue Wang, Hunje Yeon, Sunghyun Choi, Seowoo Jang
  IEEE Globecom Workshops (GC Wkshps), 2021

Awards and Honors

• Samsung AI Top 30 (AI Young Leader), 2026

  Selected as one of 30 company-wide AI Young Leaders.
• Samsung Research S/W Award for Individual, 2024
• Samsung S/W Certificate: Expert Programmer, 2020
• International Collegiate Programming Contest (ICPC)
  

  Ho Chi Minh City Regional 2017, 3rd Prize
  Daejeon Regional 2016, 4th Place (Minister of Science, ICT and Future Planning Award)
  Daejeon Regional 2013, 10th Place (NHN Special Award)
• Samsung Collegiate Programming Cup, 4th Place, 2016
• Samsung Software Track Scholarship, 2016 – 2017

  Full tuition for four semesters
• Korea University Scholarship for Gifted Students in Science, 2013

  Full coverage of tuition and admission fees

Technical Skills

• AI / Machine Learning

  Agentic AI, Retrieval-Augmented Generation (RAG), LLM/SLM Evaluation, Embeddings, Vector Search, Semantic Search, Prompt and Context Engineering, Reinforcement Learning
• Knowledge and Retrieval Systems

  Knowledge Graphs, RDF, SPARQL, NL-to-SQL, NL-to-SPARQL, Graph Reasoning, RDFox, Full-Text Search, Information Retrieval
• Programming

  C++20, Python, Rust, Kotlin, Java
• Systems and Infrastructure

  Linux, Android, Azure Pipelines, Ansible, Ray, SQLite, Google Cloud BigQuery

Technical Leadership and Teaching

• International Olympiad in Informatics (IOI)
  

  Student Assistant Coach, Korean National Team, 2016
  Coach, IOI Training Camp in Korea, 2013 – 2017
• Korea Olympiad in Informatics (KOI)

  Coach and Problem Setter, 2013 – 2017