Automotive Cybersecurity Software Engineer & Technical Project Manager specializing in safety-critical systems with 12+ years delivering production-ready solutions. Currently leading IDPS module development addressing the 225% surge in vehicle cyberattacks, managing cross-functional teams across Germany and Korea for Q4 2025 SoP. Previously architected award-winning ADAS algorithms processing huge amount of sensor data with microsecond latency for Mercedes-Benz, achieving ASIL-B TÜV Rheinland certification and AutoSens 2020 Vision Silver Award. Expert in translating embedded systems constraints into scalable architectures, with proven impact: reduced false positives by 40%, accelerated development cycles by 30%, and deployed solutions in millions of vehicles. Interested in automotive-cloud convergence, actively expanding into AI/ML applications while maintaining deep expertise in ISO 26262, ASPICE Level 3, and real-time systems optimization. Proven expertise in cross-functional team leadership across Germany and Korea. Passionate lifelong learner fluent in English and Korean, actively advancing German proficiency while building next-generation automotive security solutions.
From 2013 to 2022, I architected real-time computer vision algorithms for Mercedes-Benz ADAS at LG Electronics, where I led development of lane detection systems achieving NCAP 2020+ compliance and processing 30+ FPS video streams with 99.7% accuracy. My solutions directly contributed to LG winning the AutoSens Award for automotive innovation. From March 2022 to June 2023, I optimized HiL/SiL testing frameworks at DXC Luxoft, reducing validation time by 45% through automated test orchestration.
Currently at Autocrypt Technologies GmbH since June 2023, I bridge automotive cybersecurity with modern DevOps practices as Technical Project Manager, overseeing IDPS development for next-generation connected vehicles. Leading a distributed team of 15+ engineers, I’ve implemented agile methodologies that improved delivery predictability by 60%. My role combines hands-on security architecture (AUTOSAR-compliant IDPS, Hardware Security Module integration, real-time threat monitoring on ARM Cortex processors) with strategic program management for a Tier-1 supplier serving a global OEM.
My technical foundation spans C++ (12+ years), Python, Docker, Kubernetes, and emerging cloud technologies. I’ve published peer-reviewed research including LiDAR Denoising Methods in Adverse Environments: A Review published in IEEE Sensors Journal, 2025, and Kalman Filter-Based Suspicious Object Tracking for Border Security and Surveillance System using Fixed Automotive Radar for Sensor Signal Processing for Defence 2023. Actively pursuing AWS Solutions Architect certification to complement my embedded systems expertise with cloud-native architectures, positioning myself at the intersection of automotive innovation and enterprise-scale computing.
Tools and Technologies
Industries and Business Domains
Analytical Skills and Methodologies
IEEE Sensors Journal (2025) |
LiDAR Denoising Methods in Adverse Environments: A Review • Comprehensive review of state-of-the-art LiDAR denoising techniques • Analysis of performance in various adverse environmental conditions |
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Sensor Signal Processing for Defence (2023) |
Kalman Filter-Based Suspicious Object Tracking for Border Security and Surveillance System using Fixed Automotive Radar • Novel approach for radar-based object tracking in security applications • Implementation of adaptive Kalman filter for improved tracking accuracy |
Display Apparatus and Vehicle Having The Same (Mar. 2018) |
Patent Registration: KR 10-1838187 Application Date: March 25, 2016 Registration Date: March 7, 2018 • Innovative display system for automotive applications • Enhanced driver information display technology |
Korea |
Autocrypt Technologies GmbH (Jun. 2023 – Present) |
Automotive Cybersecurity Software Engineer / Technical Project Manager, leading IDPS module and Automated Fuzzing solution developments: • Managing technical aspects of IDPS (Intrusion Detection and Prevention System) module integration for automotive RTCUs • Leading cross-functional teams across multiple countries for successful product delivery • Serving as resident engineer for on-site customer support and technical coordination • Developed automated security fuzzing and HiLS-integrated testing framework for ISO 15118 electric vehicle charging protocols in BMW partnership • Led cybersecurity validation initiatives through Bavarian state-funded consortium, advancing automotive industry security standards • Ensuring compliance with automotive cybersecurity standards (ISO/SAE 21434, ISO 15118) Customer: Major European OEM (via Tier-1 supplier) Skills: C++, IDS, Security Fuzzing, Git, Project Management, ISO/SAE 21434, ISO 15118 |
Munich, Germany |
DXC Luxoft (Mar. 2022 – Jun. 2023) |
Senior Automotive Software Engineer, developed HiL/SiL system for Advanced Driver Assistance Systems: • Implementing a hardware simulation tool using Qt5 • Designing modular architecture for scalable test environments Customer: Mobis Skills: C++, CMake, Docker, Git, Google Test, Qt, Test-Driven Development |
Seoul, Korea |
LG Electronics (Jan. 2021 – Feb. 2022) |
Automotive Software Engineer, developed algorithms for interior camera (driver monitoring, cabin monitoring): • Implementing quantization automation system using jenkins in docker • Researching on machine learning operation (MLOps) process to make the most of the existing neural network models Customer: HKMC Skills: C++, Computer Vision Algorithm, Docker, Git, Google Test, Groovy Jenkins DSL, Jenkins Pipeline, Machine Learning, Test-Driven Development |
Seoul, Korea |
LG Electronics (Jan. 2016 – Dec. 2020) |
Automotive Software Engineer, developed hardware accelerated algorithm components for Tunnel Classification system: • Implementing an optimized CNN algorithm using image processing IP in collaboration with AI researchers • Implementing Software Detailed Design, Software Requirements Specification for Automotive-SPICE Automotive Software Engineer, developed lane recognition component for Lane Keeping Assist System (LKAS) (for DAIMLER project): • Developing raised lane marker detection algorithm (e.g. Botts’ dots in California state) • Developing a lane detection accuracy assessment system by combining DGPS data of ego vehicle and geographically annotated lane data to make its ground truth using ADTF • Leading a small group that sets up daily KPI evaluation system using Jenkins (using pipeline and master-slave layout) • Setting up a ‘Test Driven Development’ framework to make developing process to be more reliable so that functions are easily verified by pre-defined unit tests using ‘google test’ • Refactoring whole architecture of component to be layered structure through Dependency Structure Matrix Function Owner, developed online camera extrinsic self-calibration function: • Leading a group that develops online, factory camera extrinsic self-calibration and ego-motion estimation algorithms • Developing vanishing point estimation algorithm using Dense Optical Flow when pavement marking is not available Customer: DAIMLER Mercedes Benz Project description: LG’s sophisticated ADAS supports a variety of essential safety-oriented functions including Automatic Emergency Braking (AEB), Lane Departure Warning (LDW), Lane Keeping Assist (LKA), Traffic Sign Recognition (TSR), Intelligent Head-Light Control (IHC) and Adaptive Cruise Control (ACC) to not only ensure the safety of the vehicle’s occupants but other motorists and pedestrians as well. Article links: • LG ADAS camera in new Mercedes-Benz C-Class • LG ADAS Vision System - Driving Solutions • LG Wins AutoSens 2020 Vision Award Skills: C++, ADTF (Automotive Data and Time-Triggered Framework), Analytical Skills, Computer Vision Algorithm, Docker, Git, Google Test, Groovy Jenkins DSL, Jenkins Pipeline, Machine Learning, Test-Driven Development |
Seoul, Korea |
LG Electronics (Jan 2014 – Feb 2016) |
Application Software Developer, researched on Advanced Driver Assistance Systems: • Implementing function signal visualizer (viewer) using ADTF with C++ for proof of concept for OEM demonstration • Taking an initiative action for preparing a group to apply Functional Safety concept based on ISO26262 • Implementing CAN router with PCAN-Router Skills: C++, ADTF (Automotive Data and Time-Triggered Framework), Algorithms, Computer Vision Algorithm, Git |
Incheon, Korea |
KAIST (Feb. 2011 – Feb. 2013) |
M.S. in Dept. of Mechanical Engineering • Optimization Algorithm • Model-based Optimal Hand Posture Recognition using Kinect Sensor |
Daejeon, Korea |
Hanyang Univ. (Mar. 2004 – Feb. 2011) |
B.S. in Major of Computer (Computer Science) | Seoul, Korea |
Eastbourne School of English (Jan. 2007 – Jul. 2007) |
Language course for “Cambridge Exam” • studying English speaking and being certified as an intermediate level of English speaker |
Eastbourne, The UK |
TOEIC SPEAKING (19 Jan. 2013) | Level 7 (160/200) |
TOEFL iBT (14 Mar. 2009) | 98/120 (RC:28 / LC:29 / SPK:20 / WR:20) |
TOEIC (31 May 2009) | 925/990 (RC:435 / LC:490) |
LG Electronics (Nov. 2021) |
AutoSens – 2020 Vision Silver Award (AutoSens Award 2021 Winners - AutoSens (auto-sens.com)) • MPC team from Mercedes-Benz and LG Electronics • This award is aimed at Teams who are shaping the industry in a big way right now, and whose impact will last for years to come. |
Seoul, Korea |
LG Electronics (May. 2021) |
Functional Safety Project Award from TÜV Rheinland • Multi-Purpose Camera Gen 5.5 (to Daimler) in recognition of development according to ISO26262:2018 Functional Safety Management Certificate from TÜV Rheinland • Management of Functional Safety (Ch.2), Documentation and Safety Lifecycle Phases according to the scope of Product Development at the System(Ch.4), Hardware(Ch.5) and Software (Ch.6) Level of ISO26262. |
Seoul, Korea |
LG Electronics (April. 2021) |
Functional Safety ASIL B Certificate to Multi-Purpose Camera Gen 5.5 from TÜV Rheinland • For the following features / functions: ABA(Active Brake Assist), LKA(Lane Keep Assist) and HUD(Head-Up-Display) • MPC 5.5 meets the requirements of ASIL B according to ISO 26262:2011 |
Seoul, Korea |
KAIST (Dec. 2012) |
Outstanding Globalization Award for BK21 • being recognized with honor for outstanding research excellence |
Daejeon, Korea |
Hanyang Univ. (Feb. 2012) |
Outstanding Graduation Project in Capstone Design Fair • “NoteMate” - virtual drawing and capturing device using Augmented Reality |
Seoul, Korea |
Hanyang Univ. (Mar. 2004 - Sep. 2010) |
6 scholarships for 8 semesters including Full scholarships for highest distinction or outstanding student | Seoul, Korea |
Hanyang Univ. (Nov. 2008) |
Best Mentor Honors • winning the prize for the best mentor in Foreign Students Mentoring Program |
Seoul, Korea |