{"$schema":"https://raw.githubusercontent.com/jsonresume/resume-schema/v1.0.0/schema.json","basics":{"name":"Henry Kang","label":"Research Scientist, LLM Agents, Memory & Retrieval","image":"https://saywise-production-profilepicturestoragebucket-kbfooccc.s3.amazonaws.com/profile-pictures/15e45d56-ec40-4a9a-b92e-00552c5d34ae/linkedin-1792353561241.png","summary":"AI researcher with 8+ years taking models from research to production. Currently CTO of a character-chat startup with US$1.5M trailing-12-month revenue, after leading a 10-person AI team at Ericsson.","location":{"city":"Los Angeles, CA, United States"},"profiles":[{"network":"LinkedIn","username":"henrykang4","url":"https://linkedin.com/in/henrykang4"}]},"meta":{"canonical":"https://saywise.com/member1487","version":"v1.0.0","lastModified":"2026-10-18T22:58:14.657Z"},"x_saywise":{"handle":"member1487","pronouns":null,"availability":null,"oneLiner":"AI researcher with 8+ years taking models from research to production. Currently CTO of a character-chat startup with US$1.5M trailing-12-month revenue, after leading a 10-person AI team at Ericsson.","profileUrl":"https://saywise.com/member1487","markdownUrl":"https://saywise.com/member1487/profile.md","pdfUrl":"https://saywise.com/member1487/resume.pdf","archetype":{"code":"HS-MG","name":"Launchpad Trailblazer","url":"https://saywise.com/sca/c7ef8035987d","rarity":"One of the first Launchpad Trailblazers on Saywise"},"aiStack":[{"name":"Claude","description":null,"url":"https://claude.ai","storyCount":0},{"name":"Hermes","description":null,"url":null,"storyCount":0}]},"work":[{"name":"Dololabs (character / companion AI)","position":"Chief Technology Officer","location":"Remote","url":"https://doloplanet.com","startDate":"2026-07-01","summary":"Lead research and engineering for a 4-person character-chat startup, covering LLM selection and fine-tuning, conversational memory and persona, and real-time inference. Built short- and long-term memory benchmarks that now decide which model and memory changes ship. Raised KV and prompt cache hit rate from under 10% to 30% in the custom routing architecture, and secured about US$200K in signed contracts."},{"name":"Kookmin University Global Program at Westcliff University","position":"AI Lecturer","location":"Irvine, California, United States","url":"https://kookmin.ac.kr","startDate":"2025-03-01","summary":"Lead applied research on on-device small language models, cutting mobile inference latency from 14s to 3s (a 79% reduction) through quantization, layer pruning and runtime tuning. This work led to a first-author EMNLP 2026 main-conference paper on RAG with frozen SLMs, plus 3 papers submitted as corresponding author. Teach LLMs and applied AI to international students and mentor student teams building AI products."},{"name":"UStechlab","position":"Chief Technology Officer","startDate":"2025-01-01","endDate":"2026-07-01","summary":"Publishing independent AI research paper on mobile edge AI under constrained compute environments. Secured Google IT project support; authored and published AI e-books for the Korean market. Build the AI based Game."},{"name":"GetPickle (YC W25)","position":"Technical Advisor (Contract)","location":"San Francisco, CA","url":"https://shoponpickle.com","startDate":"2024-07-01","endDate":"2024-09-01","summary":"Designed the AI architecture for a real-time conversational avatar product, including the LLM reasoning loop, fine-tuning and evaluation. Guided 4 junior scientists through data curation, fine-tuning, eval design and error analysis. The team was accepted to Y Combinator W25 and raised a $700K seed."},{"name":"Ericsson","position":"Applied Research Scientist (L7)","location":"Toronto, Ontario, Canada","url":"https://ericsson.com","startDate":"2023-02-01","endDate":"2024-07-01","summary":"Led a 10-person AI team moving generative-model research into product, covering LLM fine-tuning, deepfake generation and detection, and super-resolution. Built evaluation frameworks combining automatic metrics, LLM-as-judge and human review. Curated a 20TB proprietary multimodal dataset with an auto-labeling pipeline, which improved generalization to out-of-distribution data."},{"name":"NVIDIA","position":"University Ambassdor & Instructor","location":"Toronto, ON","url":"https://nvidia.com","startDate":"2022-05-01","endDate":"2023-02-01","summary":"Delivered specialized workshops on AI and machine learning techniques in Hanyang girl's university, York university. Covered topics such as fundmental deeplearning and computer vision and practical applications in various domains. Engaged with participants through hands-on sessions, case studies, and interactive discussions. Contributed to advancing knowledge and skills in the AI community."},{"name":"Qii.AI","position":"Applied Machine Learning Scientist","location":"Toronto, Ontario, Canada","url":"https://qii.ai","startDate":"2022-01-01","endDate":"2023-01-01","summary":"Led AI delivery on 6+ government and industry projects, including auto-labeling, semi-supervised learning and defect segmentation, from client requirements through deployed models. Won the Royal Canadian Navy Fleet Inspection Sandbox with a live-deployed inspection system. Shipped vision models from cloud to embedded boards."},{"name":"Unknown","position":"Artificial Intelligence Researcher","url":"https://currituck.k12.nc.us","startDate":"2022-01-01","endDate":"2023-01-01","summary":"Spearheaded 6+ government and industry AI projects covering auto-labeling, segmentation, and cross-domain applications. Won Canada Navy Fleet Inspection Sandbox competition out of numerous competing teams. Delivered AI solutions integrating IoT, robotics, and civil engineering domains."},{"name":"T2D2.ai","position":"Applied Machine Learning Scientist","location":"New York, United States","url":"https://t2d2.ai","startDate":"2021-10-01","endDate":"2022-01-01","summary":"- Fast-paced, dynamic innovator and experience with machine learning research platforms including Opencv and Pytorch deep learning platform leading to the development of machine learning based structure management system. - Ability to identifying process pain points with an ability to create automated data analysis process resulting as evidenced by the innovation of high-throughput experimental procedures in structure management software field. - Ability to manage project timelines with an ability to produce time-dependent deliverables for structure management project deliverables resulting in successful collaborations from in public sector or industry sector field."},{"name":"WorldQuant","position":"Research Assistant","location":"Canada","startDate":"2018-09-01","endDate":"2019-04-01","summary":"Worldquant provide me very good education every weekend about risk management and financial management by machine learning algorithm. It is remote work and I learn about many different aspective about pro and con about remote work. After this I got some confidence about control my self, time management as soft skill. As the technical skill, I realize that database management is very important for machine learning in real world scenario."},{"name":"University of Manitoba","position":"Research Assistant (Ph.D.)","location":"Winnipeg, Canada Area","url":"https://umanitoba.ca","startDate":"2016-08-01","endDate":"2021-11-01","summary":"Researched deep learning and autonomous UAVs for infrastructure inspection. Produced 5 SCI(E) journal papers and 1 U.S. patent application, and this body of work has 1,600+ citations."},{"name":"Republic of Korea Army","position":"Squad Leader/ Sergent","location":"Seoul, South Korea","url":"https://onlinecareer360.com","startDate":"2009-04-01","endDate":"2011-02-01","summary":"I do my mandatory army service in Korea. After first year, I also manage my squad as squad leader. During that time, I raise my project management and team management skill."}],"education":[{"institution":"University of Manitoba","studyType":"Doctor of Philosophy - PhD in Civil engineering","startDate":"2016-09-01","endDate":"2022-06-01"},{"institution":"Graduate school of Soongsil University","studyType":"Master's degree in Software","startDate":"2014-01-01","endDate":"2016-06-01"},{"institution":"Soongsil University","studyType":"Bachelor's degree in Business Administration and Management, General","startDate":"2007-03-01","endDate":"2014-06-01"},{"institution":"Georgia State University - J. Mack Robinson College of Business","studyType":"IT Project Business Management Certificate"}],"projects":[{"name":"Small AI memory and research","description":"Research the AI research for ondevice or efficient AI technique."},{"name":"Digital human project","description":"- Design and implement an AI algorithm that will serve as the foundation for the Digital Human Project. - Utilize cutting-edge AI techniques to achieve a high degree of realism and believability in the digital human. - Gather and analyze extensive data on human behavior, emotions, and cognitive processes to inform algorithm development."},{"name":"Fleet inspection using by AI and robotics","description":"- Develop algorithms and models to enable the drone to autonomously identify and classify rust patterns on ship surfaces. - Collaborate with a multidisciplinary team to define requirements and specifications for the AI system. - Implement real-time monitoring capabilities to provide instant feedback on the rust condition."},{"name":"Automatic structure inspection using by A.I.","description":"Do the project management and machine learning engineer role. Accomplish the two projects about two client companies from Newyork and British. Provide the all of deliveralbe on time."},{"name":"UAV with Ultrasonic Beacon and laser sensor for structural health monitoring","description":"We are using the Ultrasonic beacon and laser sensor for autonomous navigation about UAV. This is very complex and small place but very accruate walk. We almost finish the work."},{"name":"Tire inspection using by deep learning","description":"Data handling, network modeling. Work with supervisor Dr.Cha. Interesting project but also face lots of limitation."},{"name":"Study helper","description":"This project is the 2020 pytorch hackathon result. The speech to text algorithm is applied using by Google API. The text summary algorithm is applied with BERT based pretraiend model. We try to make the web User interface for recording and get the result."},{"name":"Alrington Bridge SHM","description":"The steel structural damage is monitoring in real-time with a manually built solar camera system, LTE modem. Thanks for the City of Winnipeg to help and support this project."},{"name":"UAV with Ultrasonic Beacon for structural health monitoring","description":"I developed the whole system."}],"skills":[{"name":"Artificial Intelligence (AI)"},{"name":"IT Project+"},{"name":"Deep Packet Inspection"},{"name":"Team Mentoring"},{"name":"2D Animation"},{"name":"Model Making"},{"name":"Cross-Functional Team Management"},{"name":"Google API"},{"name":"Large Scale Deployments"},{"name":"Hardware Deployments"},{"name":"20/20 Technologies"},{"name":"Data Curation"},{"name":"Digital Publishing"},{"name":"Patent Preparation"},{"name":"Scientific Reports"},{"name":"Deeplearning4j"},{"name":"Fleet Maintenance"},{"name":"Team Building"},{"name":"Generalized Linear Models"},{"name":"Manufacturing Modeling"},{"name":"Computational Intelligence"},{"name":"Post Processing"},{"name":"Large Language Models (LLM)"},{"name":"Cross-platform Development"},{"name":"Image Synthesis"},{"name":"Super-resolution"},{"name":"Conversational AI"},{"name":"Computer Science"},{"name":"Embedded Software Programming"},{"name":"Expression Cloning"},{"name":"Robotics"},{"name":"Deep Learning"},{"name":"Artificial Intelligence"},{"name":"Computer Vision"},{"name":"Critical Thinking"},{"name":"Lean Startup"},{"name":"Startup Development"},{"name":"Applied Technology"},{"name":"Machine Learning"},{"name":"Generative AI"},{"name":"Python (Programming Language)"},{"name":"Civil Engineering"},{"name":"Project Management"},{"name":"Statistics"},{"name":"Image Processing"},{"name":"Data Analysis"},{"name":"Data Science"},{"name":"Research"},{"name":"Scientific Writing"},{"name":"conversational memory"}],"certificates":[{"name":"Certificate of Completion: Al Fluency Framework & Foundations","date":"2026-06-01","issuer":"Anthropic"},{"name":"Computer Vision for Industrial Inspection","date":"2022-09-01","issuer":"NVIDIA"},{"name":"Instructor Materials - Computer Vision for Industrial Inspection","date":"2022-09-01","issuer":"NVIDIA"},{"name":"AI UNIVERSITY AMBASSADOR","date":"2022-04-01","issuer":"NVIDIA"},{"name":"Fundamentals of Deep Learning (Instructor Materials)","date":"2022-04-01","issuer":"NVIDIA"},{"name":"NVIDIA DLI Certificate – Fundamentals of Deep Learning","date":"2022-03-01","issuer":"NVIDIA"},{"name":"Nvidia DLI certificate","date":"2022-03-01","issuer":"NVIDIA"},{"name":"Data Manipulation with pandas","date":"2021-08-01","issuer":"DataCamp"},{"name":"Joining Data in SQL","date":"2021-08-01","issuer":"DataCamp"},{"name":"Augmented Reality 101 by PyImageSearch University Certification","date":"2021-07-01","issuer":"PyImageSearch"},{"name":"Autonomous Vehicle Fundamentals","date":"2021-07-01","issuer":"PyImageSearch"},{"name":"OpenCV 101 — OpenCV Basics","date":"2021-07-01","issuer":"PyImageSearch"},{"name":"Triplebyte Certified Machine Learning Engineer","date":"2021-07-01","issuer":"Triplebyte"},{"name":"Introduction to SQL","date":"2021-05-01","issuer":"DataCamp"},{"name":"UAV knowledge test","date":"2017-08-01","issuer":"Transport Canada - Transports Canada"},{"name":"Office executive program","date":"2014-08-01","issuer":"Georgia State University - J. Mack Robinson College of Business"},{"name":"Deeplearning nanodegree","issuer":"Udacity"},{"name":"Flying Car nanodegree","issuer":"Udacity"}],"awards":[{"title":"Advanced Idea start up competition","date":"2023-06-01","awarder":"Artificial intelligence industry cluster agency","summary":"Future Industy idea competition in South Korea. Awarded by Artificial intelligence industry cluster agency."},{"title":"ISS","date":"2017-09-01","awarder":"University of Manitoba","summary":"GPA based award"},{"title":"IGSS","date":"2016-09-01","awarder":"University of Manitoba","summary":"Entrance Scholarship"},{"title":"Embedded software contest","date":"2014-12-01","awarder":"Qualcomm","summary":"Second winner in the national league. Develop the autonomous drone flight and car detection algorith. OCR algorithm is applied for text reconition for localization and illegal parking detection."}],"publications":[{"name":"Pocket RAG: On-Device RAG for First Aid Guidance in Offline Mobile Environment","summary":"Mobile application for Small language model. Reduce the speed from 14 sec to 3 sec about prefil."},{"name":"Deep learning-based obstacle-avoiding autonomous UAVs with fiducial marker-based localization for structural health monitoring","summary":"Corresponding author Young-Jin Cha"},{"name":"Efficient attention-based deep encoder and decoder for crack segmentation","summary":"Develop one of the mobile level fast and highly accurate deep neural network for crack damage detection in various sturcture in the world."},{"name":"Hybrid Concrete Crack Segmentation and Quantification Across Complex Backgrounds Without a Large Training Dataset","summary":"The hybrid approach between traditional computer vision approach with deep learning approach."},{"name":"Real-time multiple damage mapping using autonomous UAV and deep faster region-based neural networks for GPS-denied structures","summary":"The automate drone based inspection system is suggested for the steel infrastructure. The modified Faster R-CNN is implemented for strucutral damage detection. The drone is equipped with cost efficient beacon system for autonomous flight in the GPS denied environment."},{"name":"Hybrid pixel-level concrete crack segmentation and quantification across complex backgrounds using deep learning","summary":"This research is focusing on deep learning and post-processing for crack segmentation. I faced really a lot of difficulty during this research. The post-processing part is a quite mathematical approach."},{"name":"Autonomous UAVs for Structural Health Monitoring Using Deep Learning and an Ultrasonic Beacon System with Geo‐Tagging","summary":"This might be one of the early research for UAV and deep learning combination for infrastructure inspection. I realize it has already passed the 2 years. After that, I was more focusing on deep learning parts actually."},{"name":"Personalization and mobile characteristics affecting smart learning","summary":"This is the research helps the what is important for the mobile platform based study. I try to apply the 4 charateristics such as individualization, connectivity, selected security and subdivision."},{"name":"Emergency Landing Zone Selecting Model for UAV","summary":"Analysis the picture to find the landing site"}]}