• TBD

研發 AI 與資安結合的尖端資訊系統。深耕機器學習、深度學習及多模態模型（Multimodal Models）核心技術，成功開發暗網威脅情報、ASR 語音校正及會計 OCR 自動化等關鍵應用。此外，前瞻性導入多智能體（Multi-agent）工作流以優化營運效率，並取得『演練系統及演練方法』中華民國發明專利 (I903515)，具備卓越的技術創新與跨領域整合能力。

Spearheaded the R&D of cutting-edge information systems integrating AI and cybersecurity. Leveraging core technologies in Machine Learning, Deep Learning, and Multimodal Models, I successfully developed mission-critical applications including dark web threat intelligence platforms, ASR error correction, and automated accounting OCR. Furthermore, I proactively implemented Multi-agent workflows to enhance operational efficiency and secured an ROC invention patent (I903515) for "Training System and Method," demonstrating exceptional technical innovation and cross-disciplinary leadership.

• 威脅情報 / Threat Intelligence: 暗網監控與分析平台 / Dark web monitoring and threat intelligence platform.
• ASR 錯誤校正 / ASR Error Correction: 提升語音辨識準確度 / Improved ASR accuracy.
• 會計憑證 OCR / Accounting OCR: 自動化財務單據辨識 / Automated document recognition.
• 大型語言與多模態模型 / LLM & Multimodal Models: 應用於多元商業場景 / Applied to diverse business use cases.
• 多智能體與工作流程系統 / Multi-agent & Workflow Systems: 流程自動化設計 / Workflow automation design.
• 中華民國發明專利，I903515，演練系統及演練方法 | TRAINING SYSTEM AND TRAINING METHOD

深耕自然語言處理（NLP）、OCR 與語音識別技術，成功研發醫療診斷書之命名實體識別（NER）與事件擷取，並實現複雜表格與關鍵資訊的自動化提取。此外，針對遠距投保與客服場景，開發語音質檢與去噪工具以強化品管效率。憑藉在 AI 與資安領域的專業造詣，受 BBC 專訪探討行動通訊詐騙防制，展現具國際影響力的技術深度。

I led the development of cross-domain AI architectures and solutions, specializing in NLP, OCR, and speech recognition. I spearheaded the creation of NER and event extraction systems for medical diagnosis analysis, alongside automated OCR tools for high-precision text and table extraction. Furthermore, I engineered speech recognition and denoising solutions for remote insurance and customer service QA, significantly optimizing operational standards. My expertise in AI and cybersecurity was recognized internationally through a featured interview with the BBC on mobile fraud prevention, highlighting my role as a technical expert with global impact.

• 命名實體識別與事件擷取 / NER & Event Extraction: 醫療診斷書分析與日期擷取 / Medical diagnosis analysis & time extraction.
• OCR / OCR: 文本、表格偵測與關鍵資訊擷取 / Text, table detection, and key information extraction.
• 語音識別與去噪 / Speech Recognition & Noise Reduction: 遠距投保與客服語音質檢工具 / QA tools for remote insurance and customer service speech interactions.
• bbc.com 專訪: Taiwan's front-line battle against mobile phone fraud.

在雪豹科技擔任資深技術專家與團隊負責人期間，展現了從演算法研發到產品落地的全棧技術領導力。在 AI 領域，主導語音處理、NLP 與電腦視覺產品的開發，透過模型量化與優化技術達成毫秒級推論，極大化 AI 助理的語意理解能力。在資安領域，深耕惡意程式檢測與區塊鏈漏洞分析，研究成果獲選於 DEFCON、RuxCon、OWASP 及 HITCON 等國際頂尖安全會議發表。此外，其聲紋辨識技術更受邀支援台灣防疫科技開發，並獲選為 NVIDIA 開發者亮點案例及 Career「十大熱門人才」，是兼具卓越研發深度與國際影響力的跨域專家。

As a Senior Technical Expert and Team Lead at Leopard Mobile, I demonstrated comprehensive technical leadership across the entire AI lifecycle, from algorithm R&D to large-scale deployment. I spearheaded AI initiatives in speech processing, NLP, and computer vision, achieving millisecond-level inference through advanced quantization and optimization. In the cybersecurity domain, my research on malware detection and blockchain vulnerabilities was showcased at premier global conferences, including DEFCON, RuxCon, and OWASP. My contributions extend to public welfare, where my speaker recognition technology supported Taiwan’s pandemic response. Recognized as an NVIDIA Featured Developer and one of Career’s “Top 10 In-demand Talents,” I possess a unique blend of deep technical expertise and international research prestige.

• 智慧服務型機器人與 AI 助理 / Intelligent Service Robots & AI Assistants
  Built ML/DL applications for image, NLP, and speech processing to enhance interactive experiences.
  開發影像、自然語言處理與語音處理應用，全面提升互動體驗。
• 惡意廣告與騷擾電話識別 / Malicious Ad & Spam Call Detection
  Applied DL models to detect malicious messages, significantly improving accuracy.
  採用深度學習模型有效偵測惡意訊息，顯著提升準確度。
• 聲紋識別與語音去噪 / Speaker Recognition & Speech Denoising
  Integrated SincNet, Kaldi, and Facebook Denoiser, optimized with aishell and ESC-50 datasets, achieving 0.94 speaker recognition accuracy for service robots.
  整合 SincNet、Kaldi 與 Facebook Denoiser，並利用 aishell、ESC-50 數據集優化，使聲紋辨識準確率達 0.94，應用於服務型機器人。
• 語音分割 / Speech Segmentation
  Enhanced speech separation with RNN/CNN architectures, self-supervised models, and multi-resolution feature downsampling.
  結合 RNN/CNN 結構、自監督模型與多解析度特徵下採樣，提升語音分離效果。
• 自然語言處理與機器閱讀理解 / NLP & Machine Reading Comprehension
  Optimized BERT and developed custom annotation tools, supporting SQuAD 1.0/2.0 and DRCD to improve semantic understanding accuracy.
  優化 BERT 模型並建立數據標註工具，支援 SQuAD 1.0/2.0 與 DRCD，提升語義理解精準度。
• 文本糾錯與相似度分析 / Text Correction & Similarity Analysis
  Leveraged ConvSeq2Seq and BERT to improve inference speed and accuracy for semantic identification.
  基於 ConvSeq2Seq 與 BERT，提升推論速度與準確率，加強語意識別。
• 命名實體識別與文本分類 / NER & Text Classification
  Integrated pinyin-based classification for marketplace data, improving recognition accuracy and containerized API inference performance.
  整合拼音與分類機制，應用於商場數據，提升識別精準度與 API 推論效率。
• 支援台灣防疫技術，提升聲紋辨識正確率 (科技抗疫: 提高聲紋辨識正確率，添防疫新利器)。
  Enhanced speaker recognition accuracy for Taiwan’s pandemic prevention technologies.
• 作為 NVIDIA 開發者，應用 AI 提升行動應用程式通知的頻率與品質。
  As an NVIDIA Developer, applied AI to improve the frequency and quality of mobile app notifications.
• 受媒體專訪，列入Career「十大熱門人才」 系列報導。
  Featured in Career’s “Top 10 In-demand Talents” series.
• TonTon H.-D. Huang, "Hunting the Ethereum Smart Contract: Color-inspired Inspection of Potential Attacks", AI Village, DEFCON 26, Las Vegas, Nevada, 2018.
• TonTon H.-D. Huang, and Chia-Mu Yu, "Look! Ransomware is there: Large Scale Ransomware Detection with Naked Eye", Ruxcon Security Conference, Melbourne, Australia, 2017.
• TonTon H.-D. Huang, Chia-Mu Yu, and Hung-Yu Kao, "R2-D2: Color-Inspired Convolutional Neural Network (CNN)-based Android Malware Detection", OWASP AppSec USA, Orlando, Florida, 2017.
• 流浪到美國
• 中華人民共和國發明專利，資料檢測方法、裝置、電子設備及儲存媒體

擔任以色列商威瑞特（Verint Systems）資深資安工程師，深耕 Android 安全架構與惡意程式偵測技術。主導研發混合式探測系統 APKProbe，創新整合語義靜態分析與實體叢集動態技術，有效破解代碼混淆並規避反沙箱偵測。此外，負責數位鑑識、資安事件應變（IR）及企業級教育訓練，並連續兩年受邀於 HITCON 發表專題演講（包含 Keynote），展現深厚的資安實戰研發功力與社群影響力。

As a Senior Security Engineer at Verint Systems, I specialized in Android security architectures and advanced malware analysis. I pioneered the development of APKProbe, a hybrid malware probing system that integrates semantic-based static analysis with physical cluster-based dynamic analysis to bypass complex code obfuscation and anti-sandboxing techniques. Beyond R&D, I managed digital forensics, incident response (IR), and enterprise-level security training. My technical leadership was recognized through consecutive speaking engagements at HITCON, including a Keynote speech, solidifying my reputation as a leading expert in the cybersecurity domain.

於安碁資訊擔任資深資安工程師期間，主導開發 Acer Cyber Evidence 數位鑑識叢集工具，並成功與 ArcSight SIEM 系統整合，顯著強化威脅偵測與證據保全能力。專精於網路威脅分析與惡意程式研究，同時負責客製化資安培訓、解決方案規劃、資安事件應變（IR）及數位鑑識實務作業，建構全方位的資安防禦與取證體系。

During my tenure as a Senior Security Engineer at Acer Cyber Security, I spearheaded the development of Acer Cyber Evidence, a cluster-based digital forensics toolkit. By integrating this tool with ArcSight, I significantly enhanced the efficiency of threat detection and forensic evidence collection. My expertise focused on network threat analysis and malware research, while my responsibilities extended to delivering custom cybersecurity training, architecting solutions, and managing incident response (IR) and digital forensics operations.

• Acer Cyber Evidence 開發 / Acer Cyber Evidence Development
  Designed and implemented a cluster-based digital forensics service integrated with Arcsight, improving threat detection efficiency and forensic capability.
  設計與實作數位鑑識叢集服務，結合 Arcsight 提升威脅偵測效率與取證能力。
• 網路威脅與惡意程式分析 / Network Threat & Malware Analysis
  Developed tools for threat analysis and malware research, enhancing forensic accuracy and response time.
  開發威脅分析與惡意程式研究工具，提升鑑識準確性與反應速度。
• 資安教育與解決方案規劃 / Cybersecurity Training & Solution Design
  Delivered enterprise-level security training, product maintenance, and solution planning.
  提供企業資安教育訓練、產品維護與解決方案規劃。

• 2012 台法(NSC-INRIA)聯合團隊人員交流計畫
  Visiting Scholar, TAO, an Inria Saclay-IDF team, Univ. Paris-Sud
  2013/09 ~ 2013/09
  流浪到法國
  Funding support "Intelligent Decision Making Mechanisms with Hidden Information and Application to Electricity Generation" under the framework of the NSC-INRIA International Program from Taiwan National Science Council (NSC)
• 2010 台灣與英國頂尖大學前期合作研究計畫
  Visiting Scholar, University of Essex, School of Computer Science and Electronic Engineering
  2011/09 ~ 2012/05
  週遊列校_No.10@英國遊記-流浪180天_英國艾賽克斯大學-Colchester, Wivenhoe, University of Essex | 流浪到英國
  Funding support "Type-2 Fuzzy Ontology Model and Its Applications" under the framework of the 2010 Initiative Research Cooperation among Top Universities between UK and Taiwan from Taiwan National Science Council (NSC)

於國家高速網路與計算中心（NCHC）擔任助理研究員，主導開發開源自動化惡意程式分析工具 TWMAN（Taiwan Malware Analysis Network）。創新整合 DRBL（無碟遠端啟動） 技術，於 Windows 平台建構高效率、具擴充性的自動化行為分析體系。此外，負責南部學術網路（TANet）之安全維運與前瞻資安技術研究，並提供客製化技術支援與教育訓練，展現結合高性能計算與實務資安研發的深厚基礎。

As an Assistant Researcher at the National Center for High-Performance Computing (NCHC), I pioneered the development of TWMAN (Taiwan Malware Analysis Network), an open-source automated malware behavior analysis toolkit. By integrating DRBL (Diskless Remote Boot in Linux) technology, I engineered a high-efficiency and scalable analysis framework for Windows platforms. In addition to R&D, I managed the operations of the Southern Taiwan Academic Network, conducted advanced cybersecurity research, and delivered custom technical training, demonstrating a strong foundation in bridging high-performance computing with practical security solutions.

• TWMAN 惡意程式分析工具 / TAIWAN Malware Analysis Network
  Developed an open-source automated malware behavior analysis toolkit for Windows, integrating DRBL to improve analysis efficiency and scalability.
  開發基於 Windows 的開源自動化惡意程式行為分析工具，整合 DRBL 提升分析效率與可擴充性。
• 惡意程式分析與資安研究 / Malware Analysis & Security Research
  Developed behavior analysis and forensic techniques to strengthen cybersecurity capabilities.
  研發行為分析與鑑識技術，強化資安防護能力。
• 南部學術網路維運 / Southern Taiwan Academic Network Operations
  Managed network infrastructure ensuring high availability and security.
  管理網路基礎架構並確保高可用性與安全性。

• 碩士 (Master) — 國立臺南大學 數位學習科技系
  2006/09 ~ 2008/06
  週遊列校_No.08@痛痛的人生-伴我7年多的國立臺南大學思誠樓菸酒室
  Master, Dept. Information and Learning Technology, National University of Tainan
  The Ontology Applications & Software Engineering Laboratory (OASE Lab.)，李健興博士 (Prof. Chang-Shing Lee)；共同指導教授：莊宗嚴博士
  
• 共創雙贏~本校與哈瑪星團隊赴法國研商國際產學合作交流(2013.09.11)
• 南大姐妹校英國艾塞克斯大學(University of Essex)提供學術交流獎學金(2012.11.22)
• 南大舉辦英國牛津大學ESL課程說明會(2012.11.13)
• 南臺灣國立大學研發策略聯盟Google+ Hangouts平台啟用儀式(2012.03.02)
• 南大與英國Essex大學及駐英科技組於Google平臺舉行國際學術研發會議(2012.02.24)
• 社會新鮮人就業系列講座 – 求職&面試(2009.06.22)

• 學士 — 立德大學 資訊工程系 (B.S., Leader University)
  2002/09 ~ 2006/06
  週遊列校_No.07@痛痛的人生-立德資工-「稻國立真遠」
• 嘉南藥理科技大學（工業安全與衛生學系） | 2001/09 ~ 2002/06 | 週遊列校_No.06@痛痛的人生-嘉藥工安
• 輔仁大學夜間部（會計系） | 2000/09 ~ 2001/06 | 週遊列校_No.05@痛痛的人生-輔大夜會計

• 力行升大學保證班 | 1999/09 ~ 2000/06 | 週遊列校_No.04@痛痛的人生-力行重考班
• 高雄市私立復華中學，三年三班 | 1999/02 ~ 1999/05 | 週遊列校_No.03@痛痛的人生-復華中學
• 國立岡山高級中學，三年六班 | 1998/09 ~ 1999/01 | 週遊列校_No.02@痛痛的人生-岡山高中
• 高雄市立左營高級中學，一年十班，二年四班 | 1996/09 ~ 1998/06 | 週遊列校_No.01@痛痛的人生-左營高中