Career Profile
8+ years Backend engineering experience
6.5+ years DevOps CI/CD experience
6+ years Data collection, Data cleaning, and Data analysis experience
1+ years Team/projects management experience
6+ months Security research experience
5+ years Web applications (Rails) experience
3+ years Cloud services experience
1+ years Android native applications experience
6+ months Hybrid applications (React Native) experience
3+ months iOS native applications experience
Experiences
- Full-stack development & Maintenance, 2024 - Now
Spearheaded the development of innovative projects, including Windows event tracing hunter, risk assessment tool, and AI assistant, collaborating with the Chief Research Officer and Chief Architect.
- Product security, 2024 - Now
Discovered critical cybersecurity incidents (at least 5+ vulnerabilities, including CVE-2024-7694) in the product independently and established a PSIRT from scratch.
Developed and designed a self-check product security system with alerting capabilities to prevent C2 attacks.
ThreatSonar: The platform is an advanced threat hunting and MDR (Managed Detection and Response) solution with a wide range of capabilities. These include compromise assessment, auto-investigation, and orchestration. With over 100 built-in IoCs (Indicators of Compromise) and thousands of backdoor indicators, it enables the discovery of threats and remote execution of incident responses in a post-compromised environment.
- Full-stack development & Maintenance, 2019 - 2024
Managed the entire backend architecture for ThreatSonar, encompassing post-processing, agent engine, product platform, and license system.
Developed RESTful APIs and WebSockets for new features, optimizing API structures with Swagger to enhance resource efficiency.
Built GitLab CI/CD pipelines for automated deployment and a Chatbot/SMTP-integrated alarm system to monitor system status.
- Architecture planning & System performance, 2020 - 2023
Pioneered the implementation of a MySQL, PostgreSQL, and Elasticsearch cluster, leading to significant enhancements in data traffic, replication, and system scalability.
Achieved high availability with Keepalived, Active/Standby, GlusterFS to ensure stability and enable failover/failback capabilities.
Migrated data from MySQL to PostgreSQL within a month, resulting in a 30-50% improvement in complex query performance.
Refactored the legacy worker dispatcher and implemented profiling with stress testing to enhance system efficiency by 10x.
Devised a real-time cache system using Redis with TTL to reduce response time based on data usage.
Designed monthly rotated table partitions to alleviate the database's load, particularly when handling extensive data volumes.
- Malware detection, 2020
Built container-based data pipelines with Kibana and Nginx to analyze malicious behavior.
Researched anomaly detection and NLP to detect threat actors via obfuscated commands.
D8-a11y(TSL): It’s a hybrid application (React Native) designed to assist hearing-impaired individuals in communicating via text while at brick-and-mortar stores using a telephone.
- Backend development, 2018 - 2019
Implemented stable streaming media with the Janus framework (WebRTC/SIP) and GCP Speech, alongside a MongoDB/JWT-based user session management system.
Built a message broker system with ELK, Kafka MQ, and AWS for centralized log management and data visualization.
InfoHub: It’s a native mobile application for iOS and Android that focuses on real-time data within the data industry, providing information such as news, videos, funny images, and media retrieval.
AdZodiac: It’s a fully integrated advertising platform based on web services and MoPub mobile SDK, incorporating various advertising APIs such as Facebook, AdMob, Flurry, and more.
- Mobile full-stack development, Android launcher, and Advertising SDK, 2016 - 2018
Developed Android prototypes, integrated media retrieval from a BaaS platform, and implemented Ads on the Android launcher's home screen.
Expanded a data crawler with third-party APIs, NLP, and information extraction, and built an Ads SDK for Android/iOS, boosting revenue.
Devised a notification system using Firebase and BaaS to efficiently deliver 2.5M messages per month for tracking MAU.
Assisted an advertising team in developing native applications for Android/iOS platforms and built an Ads SDK for clients, resulting in increased revenues.
- System performance, Infrastructure, and Recommendation, 2017 - 2018
Designed a parallel data crawler with MongoDB cache, improving performance by 24x and reducing bandwidth costs by over 90% using CDN.
Implemented a comprehensive range of system troubleshooting and monitoring services to proactively prevent system crashes.
Built a personalized news recommendation system using collaborative filtering and hybrid Word2Vec/Doc2Vec with SVD/MF models for enhanced efficiency.
Education
Master's Thesis: Predicting Web Services with Service Ontology
Lab & Advisor: Software Engineering Laboratory, Jonathan Lee, Ph.D
Relevant Research Domains: Prediction and Recommender System, Ontology, Natural Language Processing, Information Retrieval and Extraction, Machine Learning
Relevant Courseworks: Software Engineering, Software Engineering Design (Design Pattern), Computer Security, Interactive Computer Graphics, Computer Vision, Natural Language Processing, Information Retrieval and Extraction, Personal Communication Service
Senior Projects: System Detection by Face Orientation, English Learning Companion Robot
Lab & Advisor: Computational Intelligence and Human Computer Interaction Laboratory, Mu-Chun Su, Ph.D
Relevant Courseworks: The Attack and Defense of Computers, Object Oriented Analysis and Design, Computer Animation and 3D Games, Virtual Reality, Multimedia Signal Processing, Software Hardware Codesign, Computer Networking
Societies: Service Club of NCU (Member, Sep 2009 - Jun 2011), Sign Language Club of NCU (Member, Sep 2009 - Jun 2010), Student Association of NCU CSIE (Member of IT Department, Sep 2009 - Jun 2010)
Awards & Honors


Served as an invited speaker for achieving outstanding performance amongst deaf people.
Ranked second place in 2009 Taiwan College Entrance Examination in sciences major (with biology) for hearing impaired students.
Got admitted to TOP 3 graduate schools(NTU, NTHU, NCTU) in Taiwan by achieving general student entry requirements.
Designed a system using C# and Microsoft Kinect, combined with CILAB’s robot, to assist children in learning English. The system incorporates interactive features, such as imitating sounds and actions, to enhance the learning experience.
Advanced to the Final Round
Subject : English Learning Companion Robot
Members : 3
Built a system using C# that enables parents to monitor their children’s learning progress. The system retrieves image information through Kinect for analysis. All the collected data can be uploaded to a network platform for parents to review and download.
Advanced to the Final Round
Subject : System Detection by Face Orientation
Members : 3
Utilized the CI-STAMP evaluation board (provided by CILab) to develop a self-propelled vehicle program using C. The program was designed to navigate and overcome challenges in a maze.
Won the Championship (More than 20 teams)
Members : 4 (Team Leader)
Achieved over a semester grade point average of A(4/4.3).

