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Dr. Huang has 8+ years of software development, 7+ years of AI, and 3+ years of team leadership. Based on knowledge in physics, he also engages in social platform, madtech, healthcare, education and fintech with ML/DL technologies. In order to integrate information from multiple domains, project portfolio management is also acquired.
New Taipei City,TW
[email protected]
+886 937 498838
Understanding customers requirements to design explainable AI experiments and to develop algorithm libraries delivered to developers to integrate with production platform
Stories and tasks are organized after discussing with stakeholders and developers to estimate the timeline releasing features. The lifecycle integrating both of the research and the development agilly and incrementally.
Nonlinear optical simulation, Quantum statistics and information control, Medical image processing, Deep learning architecture, Digital marketing predictive model
Python, C/C++, Javascript, R, Bash, Git, SQL, Postgres, MongoDB, Nodejs, Django, Flask, Docker, Tensorflow, PyTorch, Keras
1. Collaborate with cross-functional teams of 20+ including product managers, designers, project managers, platform engineers, and data engineers to drive product development and innovation.
2. Exploring UI/UX for Real-Time Bidding in Retail Media Networks.
3. Architect and lead the seamless integration of existing services, such as AI SEO, Push Notifications, and product/keyword recommendations, into a unified and user-friendly platform.
4. Facilitating the bridge between business development and engineering teams through project management guided by the PDCA cycle.
5. Assisting platform engineers in streamlining development workflows through version control and optimizing web push delivery with Firebase Cloud Messaging.
6. Boost the efficiency of a 10+ GB/day recommendation system by introducing Airflow to automate and streamline ETL tasks
1. Lead cross-functional teams with 20+ people that bring together frontend developers skilled in Angular and VueJS, backend engineers proficient in NodeJS and JAVA, AI specialists with expertise in Python, and DevOps experts who orchestrate Kubernetes for automating deployment, scaling, and containerized application management.
2. Anticipate 2+ text analysis projects utilizing techniques such as ensemble information retrieval methods, named entity extraction with transformer-based architectures, and text summarization through prompt engineering.
3. Anticipate 3+ document understanding projects that involve detecting document layouts and converting them into structured data. These projects will utilize object detection with rotated YOLO and multilingual optical character recognition (OCR) using TrOCR.
4. Lead teams that tackle architectural challenges in application systems, including access control, task scheduling, and data visualization. Additionally, our AI platform encompasses systems for managing utterances, building and maintaining models, and evaluating their performance.
5. Oversee teams responsible for enhancing the cybersecurity posture of our systems. Additionally, we work to standardize deployment procedures, ensuring the quality and reliability of our services.
6. Lead teams in developing a system for designing prompts and evaluating the performance of retrieval-augmented generation using embedding models, large language models and several information retrieval techniques
7. Oversee the development of several techniques aimed at enhancing the performance of our algorithm servers. These techniques include model quantization and optimizing streaming processes.
8. Drive the development of several neural network architectures based on transformers. These architectures are designed to detect rotated objects, extract document layouts from images, and perform multilingual translation from optical characters.
1. Lead an AI team with 4+ people to develop PyTorch-based packages. These packages handle critical tasks such as data processing, model training, and model evaluation. Additionally, we ensure that these packages are seamlessly integrated into SysTalk.ai’s algorithm servers.
2. Drive the development of various NLP techniques, including keyword extraction, sentence embeddings, natural language understanding, named entity extraction, and reranking algorithms. These techniques are seamlessly integrated into SysTalk.Chat, our Mail Reply Service, and the Dialogou Recommendation System
3. Oversee both the Mail Reply Service and Intelligent Claims solutions. My role involves engaging with stakeholders, managing the entire development lifecycle—from proof of concept to service delivery—and ensuring successful project outcomes.
1. Work on building models that fuse data from LiDAR and cameras to detect violations of social distancing. After developed, these models were deployed onto a device equipped with Jetson Nano and integrated with RealSense.
2. Work on building models to detect human heads with keypoint-based and Gaussian-based object detection techniques, and our goal was to convert these models into a format compatible with the OpenVINO inference engine.
3. Involve breaking down high-level objectives into specific tasks and collaborating closely with colleagues to bring product features to life.
4. Explored the capabilities of AI in both classrooms and conference rooms.
1. Embrace an agile data science project lifecycle to conduct experiments
2. Collaborate with colleagues to develop a CADx (Computer-Aided Diagnosis) system using Vue.js and Flask. Our system allows us to display MR (magnetic resonance) images along with quantified information
3. Work on integrating AI outcomes with PACS (Picture Archiving and Communication System) following the DICOM (Digital Imaging and Communications in Medicine) standard
4. Dive into healthcare architecture, particularly exploring the intricate integration among HIS (Hospital Information Systems), RIS (Radiology Information Systems), and PACS (Picture Archiving and Communication Systems).
5. Utilize traditional greyscale co-occurrence matrices, deep learning object detection, and generative adversarial network (GAN) architectures to analyze 3D MRI images for cancer screening risk assessment.
6. Design neural network architectures for two critical tasks:
- Classifying and segmenting tumors or lesions from medical MR images, and
- Masking defects detected by the Automatic Optical Inspector (AOI).
7. Leverage bioinformatics techniques to analyze the 16S rRNA gene of gut bacteria
1. Develop a decompression algorithm in C specifically for a dive computer that’s powered by an 8-bit microchip MCU
2. Analyze user behavior on the Deepblu social platform for diving, particularly focusing on social interactions and relationships.
3. Analyze user growth in response to our digital marketing efforts
4. Build a recommender system for the Deepblu social platform. Our goal is to suggest relevant posts, engaging groups, and captivating media content to users based on their interests and interactions
5. Collaborate with colleagues to develop robust backend architectures with LoopbackJS, including message systems with Mosquitto, and efficient database (MongoDB) management.
6. Build a data pipeline that integrates information from Google Analytics (GA), Facebook Business Manager, and the Deepblu social platform. Our goal is to streamline data collection, perform analysis, and create insightful visualizations.
1. Explore the fascinating world of quantum trajectory algorithms. These algorithms allow us to simulate the behavior of quantum open systems, shedding light on their dynamics and interactions with the environment
2. Dive into quantum feedback control techniques. Our goal is to generate and stabilize quantum states—a critical step in harnessing quantum phenomena for practical applications.
3. Adopt quantum optimization algorithms. These algorithms pave the way for precise control over quantum gates, which are essential building blocks for quantum computation and communication.
4. Study the intriguing quantum dephasing effect. Whether it occurs in superconducting circuits, semiconductors, or nitrogen-vacancy systems, understanding dephasing is crucial for maintaining coherence in quantum devices
Physics, National Taiwan University, Taiwan (R.O.C.). Majoring in quantum computation, quantum measurement, and quantum control science and technology in superconductor, semi-conductor, or nitrogen-vacancy system.
Physics, National Chung Cheng University, Taiwan (R.O.C.). Majoring in light-matter interaction system like Kerr non-linear effect of Bose-Einstein condensation.
Physics, National Cheng Kung University, Taiwan (R.O.C.)
Dr. Huang has 8+ years of software development, 7+ years of AI, and 3+ years of team leadership. Based on knowledge in physics, he also engages in social platform, madtech, healthcare, education and fintech with ML/DL technologies. In order to integrate information from multiple domains, project portfolio management is also acquired.
New Taipei City,TW
[email protected]
+886 937 498838
Understanding customers requirements to design explainable AI experiments and to develop algorithm libraries delivered to developers to integrate with production platform
Stories and tasks are organized after discussing with stakeholders and developers to estimate the timeline releasing features. The lifecycle integrating both of the research and the development agilly and incrementally.
Nonlinear optical simulation, Quantum statistics and information control, Medical image processing, Deep learning architecture, Digital marketing predictive model
Python, C/C++, Javascript, R, Bash, Git, SQL, Postgres, MongoDB, Nodejs, Django, Flask, Docker, Tensorflow, PyTorch, Keras
1. Collaborate with cross-functional teams of 20+ including product managers, designers, project managers, platform engineers, and data engineers to drive product development and innovation.
2. Exploring UI/UX for Real-Time Bidding in Retail Media Networks.
3. Architect and lead the seamless integration of existing services, such as AI SEO, Push Notifications, and product/keyword recommendations, into a unified and user-friendly platform.
4. Facilitating the bridge between business development and engineering teams through project management guided by the PDCA cycle.
5. Assisting platform engineers in streamlining development workflows through version control and optimizing web push delivery with Firebase Cloud Messaging.
6. Boost the efficiency of a 10+ GB/day recommendation system by introducing Airflow to automate and streamline ETL tasks
1. Lead cross-functional teams with 20+ people that bring together frontend developers skilled in Angular and VueJS, backend engineers proficient in NodeJS and JAVA, AI specialists with expertise in Python, and DevOps experts who orchestrate Kubernetes for automating deployment, scaling, and containerized application management.
2. Anticipate 2+ text analysis projects utilizing techniques such as ensemble information retrieval methods, named entity extraction with transformer-based architectures, and text summarization through prompt engineering.
3. Anticipate 3+ document understanding projects that involve detecting document layouts and converting them into structured data. These projects will utilize object detection with rotated YOLO and multilingual optical character recognition (OCR) using TrOCR.
4. Lead teams that tackle architectural challenges in application systems, including access control, task scheduling, and data visualization. Additionally, our AI platform encompasses systems for managing utterances, building and maintaining models, and evaluating their performance.
5. Oversee teams responsible for enhancing the cybersecurity posture of our systems. Additionally, we work to standardize deployment procedures, ensuring the quality and reliability of our services.
6. Lead teams in developing a system for designing prompts and evaluating the performance of retrieval-augmented generation using embedding models, large language models and several information retrieval techniques
7. Oversee the development of several techniques aimed at enhancing the performance of our algorithm servers. These techniques include model quantization and optimizing streaming processes.
8. Drive the development of several neural network architectures based on transformers. These architectures are designed to detect rotated objects, extract document layouts from images, and perform multilingual translation from optical characters.
1. Lead an AI team with 4+ people to develop PyTorch-based packages. These packages handle critical tasks such as data processing, model training, and model evaluation. Additionally, we ensure that these packages are seamlessly integrated into SysTalk.ai’s algorithm servers.
2. Drive the development of various NLP techniques, including keyword extraction, sentence embeddings, natural language understanding, named entity extraction, and reranking algorithms. These techniques are seamlessly integrated into SysTalk.Chat, our Mail Reply Service, and the Dialogou Recommendation System
3. Oversee both the Mail Reply Service and Intelligent Claims solutions. My role involves engaging with stakeholders, managing the entire development lifecycle—from proof of concept to service delivery—and ensuring successful project outcomes.
1. Work on building models that fuse data from LiDAR and cameras to detect violations of social distancing. After developed, these models were deployed onto a device equipped with Jetson Nano and integrated with RealSense.
2. Work on building models to detect human heads with keypoint-based and Gaussian-based object detection techniques, and our goal was to convert these models into a format compatible with the OpenVINO inference engine.
3. Involve breaking down high-level objectives into specific tasks and collaborating closely with colleagues to bring product features to life.
4. Explored the capabilities of AI in both classrooms and conference rooms.
1. Embrace an agile data science project lifecycle to conduct experiments
2. Collaborate with colleagues to develop a CADx (Computer-Aided Diagnosis) system using Vue.js and Flask. Our system allows us to display MR (magnetic resonance) images along with quantified information
3. Work on integrating AI outcomes with PACS (Picture Archiving and Communication System) following the DICOM (Digital Imaging and Communications in Medicine) standard
4. Dive into healthcare architecture, particularly exploring the intricate integration among HIS (Hospital Information Systems), RIS (Radiology Information Systems), and PACS (Picture Archiving and Communication Systems).
5. Utilize traditional greyscale co-occurrence matrices, deep learning object detection, and generative adversarial network (GAN) architectures to analyze 3D MRI images for cancer screening risk assessment.
6. Design neural network architectures for two critical tasks:
- Classifying and segmenting tumors or lesions from medical MR images, and
- Masking defects detected by the Automatic Optical Inspector (AOI).
7. Leverage bioinformatics techniques to analyze the 16S rRNA gene of gut bacteria
1. Develop a decompression algorithm in C specifically for a dive computer that’s powered by an 8-bit microchip MCU
2. Analyze user behavior on the Deepblu social platform for diving, particularly focusing on social interactions and relationships.
3. Analyze user growth in response to our digital marketing efforts
4. Build a recommender system for the Deepblu social platform. Our goal is to suggest relevant posts, engaging groups, and captivating media content to users based on their interests and interactions
5. Collaborate with colleagues to develop robust backend architectures with LoopbackJS, including message systems with Mosquitto, and efficient database (MongoDB) management.
6. Build a data pipeline that integrates information from Google Analytics (GA), Facebook Business Manager, and the Deepblu social platform. Our goal is to streamline data collection, perform analysis, and create insightful visualizations.
1. Explore the fascinating world of quantum trajectory algorithms. These algorithms allow us to simulate the behavior of quantum open systems, shedding light on their dynamics and interactions with the environment
2. Dive into quantum feedback control techniques. Our goal is to generate and stabilize quantum states—a critical step in harnessing quantum phenomena for practical applications.
3. Adopt quantum optimization algorithms. These algorithms pave the way for precise control over quantum gates, which are essential building blocks for quantum computation and communication.
4. Study the intriguing quantum dephasing effect. Whether it occurs in superconducting circuits, semiconductors, or nitrogen-vacancy systems, understanding dephasing is crucial for maintaining coherence in quantum devices
Physics, National Taiwan University, Taiwan (R.O.C.). Majoring in quantum computation, quantum measurement, and quantum control science and technology in superconductor, semi-conductor, or nitrogen-vacancy system.
Physics, National Chung Cheng University, Taiwan (R.O.C.). Majoring in light-matter interaction system like Kerr non-linear effect of Bose-Einstein condensation.
Physics, National Cheng Kung University, Taiwan (R.O.C.)