Algorithm Research & Development @適着三維科技股份有限公司 TG3D Studio Inc.
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2021 ~ Presente
Software Engineer
En un mes
level with a size error margin of less than 3 cm. Computer Vision Body Reconstruction Stable Diffusion DApp: Exercise Classification Implemented real-time activity recognition for specified exercises, including but not limited to push-ups and squats, enabling accurate tracking and analysis of workout routines. Skeleton Detection Motion Classification Body AI: 3D Body Data Analysis Engage in a variety of AI side projects focused on leveraging 3D body data, encompassing tasks such as Body ID Recognition, Body Measurements Prediction, and Body Shape Classification. Mesh Data Processing Body Modulization: SMPL Project Engineer • Acer Inc. JanMay 2021 Working
Python
AI & Machine Learning
Image Processing
Empleado
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Listo para la entrevista
A tiempo completo / Interesado en trabajar a distancia
in distributed computing, optimizing code execution across thousands of systems to significantly improve processing speed and efficiency. ◆Developed sophisticated data visualization tools to distill complex datasets into actionable insights, aiding strategic decision-making. The University of Tokyo, Foreign Researcher (OctSep◆Pioneered a neural network-based approach for cell image classification and data visualization, enhancing lab capabilities in biological research. ◆Designed a user-friendly GUI for neural network model training, democratizing access to advanced computational tools for non-programmers. Education National Chiao-Tung University, Ph.D. - Photonics, 2015 ~ 2020 Development of Intelligent Wearable Near Infrared Spectroscopy
Deep learning with TensorFlow
Translational Research
Clinical Research
Empleado
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Listo para la entrevista
A tiempo completo / Interesado en trabajar a distancia
based Project using SIMATIC SSignal conditioning of data received from the Aircraft Engine MFI-17 Super Mushshak Part Task Trainer (Simulator) Team lead of the Hardware installation and interfacing with soft instruments Using National Instruments NI-Daq 6343 Hardware designing of Trim Panel using Arduino Uno Foreign Object Debris Detection, Classification, and Localization using Deep Learning Python language based Project using YOLO-V7 (you only look once) Addressed the Class imbalance in FOD-A Dataset FOD detection/localization with improved accuracy Data Acquisition design and implementation of a Level-D Simulator (C130-H) NI-PXI Chassis-based DATA ACQUISITION
Microsoft Office
C++
C#
Desempleado
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Listo para la entrevista
A tiempo completo / Interesado en trabajar a distancia
6-10 años
University of Central Punjab
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Electrical and Power Transmission Installation/Installer, General
DLs in Exchange Online. 9.Working with External auditors on joiners, leaver and movers. 10.Working with O365 license assignments and removal for user accounts. Associate System Engineer • Wipro Technologies MarchMarchWas involved in build activities for AI based Autonomous Vehicle Project. 2. Prepare, process, analyze & finalize Lidar data. 3. Perform QA on Images processed by LiDAR. 4. Perform classification from processed LIDAR data. Education East Point College Of Engineering And Technology Mechanical EngineeringSkills M 365 Azure AD Exchange Online Active Directory PowerShell GIS Languages Hindi — Fluent English — Fluent
and deployed it to the environment. Major Product and Project Experience AI training platform backend development with Label Studio/DVC/MLflow Developed training templates. AI-SaaS Implemented NLU tasks using BERT-based models to provide functions such as named entity recognition, entity relation extraction, and article classification . Implemented NLG tasks using T5 to provide article summarization functionality. NetProbe - DPI Use 1D-CNN and MLP models for encrypted network traffic identification . Use the Autoencoder model for unknown packet detection . Taiwan Ministry of the Interior Investigation Bureau Police Station - AI Crime Investigation Trace Analysis
Python
JAVA
Linux
Empleado
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Abierto a oportunidades
A tiempo completo / No está interesado en trabajar a distancia
detection, segmentation, and classification AI scenario. Good communication skills with doctors' demands and collaboration with colleagues. Patent Disclosure: Ultrasound detect and notify system. (serial number: I學歷 SepJun 2 National Taiwan University of Science and Technology Masters in Electrical Engineering Thesis "Online Data Stream Analytics for Dynamic Environments Using Self-Regularized Learning Framework", IEEE journal SepJun 2020 Yuan Ze University Bachelor in Electrical Engineering Skills Customer/VC negotiation and customer services DL/ML/AI algorithm, keen problem solving 3D modeling (Blender) Python, Matlab, Tensorflow, Keras Object detection, Classification, [email protected]
Business Development
Deep Learning
PYTHON
Empleado
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Abierto a oportunidades
A tiempo completo / Interesado en trabajar a distancia
De 4 a 6 años
國立台灣科技大學 National Taiwan University of Science and Technology
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電機工程
El plan de reclutamiento más ligero y eficaz
Busque currículums y tome la iniciativa de ponerse en contacto con los solicitantes de empleo para lograr una mayor eficacia en la contratación. La elección de cientos de empresas.
Examinar todos los resultados de la búsqueda
Acceso ilimitado para iniciar nuevas conversaciones
currículos accesibles sólo para empresas de pago
Ver dirección de correo electrónico y números de teléfono de los usuarios
Relevant Courses: Object-Oriented Design, Data Structures, Probability & Statistics, Algorithms, Database Systems, Computer Networking I, Computer Vision, Natural Language Processing, Machine Learning
EXPERIENCE
Medical Informatic Research and Genetic Elucidation Lab, National Taiwan University | Taiwan
Summer InternMay 2019 – August 2019
Built a facial recognition program using OpenCV and convolutional neural networks (CNNs).
Designed a machine learning classification model for 5 common lung tumor types using ensemble one-vs-one support vector machine (SVM) classifier.
Applied 3D residual convolutional neural networks, using Keras and scikit-learn, on augmented Lung Image Database Consortium image collection (LIDC-IDRI) to classify benign and malignant lung tumors and achieved an accuracy, sensitivity, and specificity of 97.23%, 95.54%, and 98.12%, respectively.
PROJECTS
Taiwanese Traffic Object Detection | TaiwanDecember 2020 – January 2021
Trained and fine-tuned Darknet YOLOv4 Tiny model on a custom object detection dataset for Taiwanese traffic.
Explored the capability of Darknet YOLOv4 Tiny by training and fine-tuning the model at different resolutions, learning rates, and momentum to build an object detection system specifically for Taiwanese traffic.
Achieved an 87.5% [email protected] at about 18 to 23 average FPS with Nvidia Tesla P100 GPU.
Proper Mask Wearing Detection and Alarm System | TaiwanDecember 2020 – January 2021
A face mask detector that can detect whether an individual wears a mask and if the mask is worn properly.
Performed transfer learning on MobileNet V2 using Tensorflow/Keras, OpenCV, and Google Cloud Compute Engine.
Designed and deployed a real-time detection app for the mask detection model using Dash framework.
Continuation of the ITS-Chatbot project using a transformer-based model.
Implemented a test script that evaluates the model on Piazza questions using Exact Match and F1 scores as metrics.
Improved generated-answer selection with softmax confidence score calculation and thresholding.
Incorporated and tested a BERT QA model on existing chatbot architecture using the ktrain Python library.
Overhauled the model in a more object-oriented fashion that eased the subsequent implementation of the transformer-based document retriever.
ITS-Chatbot | Atlanta, GAJanuary 2020 – May 2020
A chatbot add-on that aims to support digital dialogs between students and all resources available for a course.
Built a data preprocessing pipeline for Piazza posts and comments using Spacy, NLTK and other Python libraries.
Integrated the data preprocessing pipeline with the document embedding script and chatbot interface.
LEADERSHIP
Data Science at Georgia Tech (DSGT, or Data Science at GT) | Atlanta, GAOctober 2018 – April 2020
Content Creator (January 2019 – April 2020)
Incorporated Jupyter Notebook with presentations to build interactive data science workshops for more than 80 DSGT members on topics such as Support Vector Machine, Ensemble Methods, and Intro to Deep Learning.
Planned, with other organizing members, Hacklytics 2020 datathon and presented a workshop to over 50 students.
Relevant Courses: Object-Oriented Design, Data Structures, Probability & Statistics, Algorithms, Database Systems, Computer Networking I, Computer Vision, Natural Language Processing, Machine Learning
EXPERIENCE
Medical Informatic Research and Genetic Elucidation Lab, National Taiwan University | Taiwan
Summer InternMay 2019 – August 2019
Built a facial recognition program using OpenCV and convolutional neural networks (CNNs).
Designed a machine learning classification model for 5 common lung tumor types using ensemble one-vs-one support vector machine (SVM) classifier.
Applied 3D residual convolutional neural networks, using Keras and scikit-learn, on augmented Lung Image Database Consortium image collection (LIDC-IDRI) to classify benign and malignant lung tumors and achieved an accuracy, sensitivity, and specificity of 97.23%, 95.54%, and 98.12%, respectively.
PROJECTS
Taiwanese Traffic Object Detection | TaiwanDecember 2020 – January 2021
Trained and fine-tuned Darknet YOLOv4 Tiny model on a custom object detection dataset for Taiwanese traffic.
Explored the capability of Darknet YOLOv4 Tiny by training and fine-tuning the model at different resolutions, learning rates, and momentum to build an object detection system specifically for Taiwanese traffic.
Achieved an 87.5% [email protected] at about 18 to 23 average FPS with Nvidia Tesla P100 GPU.
Proper Mask Wearing Detection and Alarm System | TaiwanDecember 2020 – January 2021
A face mask detector that can detect whether an individual wears a mask and if the mask is worn properly.
Performed transfer learning on MobileNet V2 using Tensorflow/Keras, OpenCV, and Google Cloud Compute Engine.
Designed and deployed a real-time detection app for the mask detection model using Dash framework.
Continuation of the ITS-Chatbot project using a transformer-based model.
Implemented a test script that evaluates the model on Piazza questions using Exact Match and F1 scores as metrics.
Improved generated-answer selection with softmax confidence score calculation and thresholding.
Incorporated and tested a BERT QA model on existing chatbot architecture using the ktrain Python library.
Overhauled the model in a more object-oriented fashion that eased the subsequent implementation of the transformer-based document retriever.
ITS-Chatbot | Atlanta, GAJanuary 2020 – May 2020
A chatbot add-on that aims to support digital dialogs between students and all resources available for a course.
Built a data preprocessing pipeline for Piazza posts and comments using Spacy, NLTK and other Python libraries.
Integrated the data preprocessing pipeline with the document embedding script and chatbot interface.
LEADERSHIP
Data Science at Georgia Tech (DSGT, or Data Science at GT) | Atlanta, GAOctober 2018 – April 2020
Content Creator (January 2019 – April 2020)
Incorporated Jupyter Notebook with presentations to build interactive data science workshops for more than 80 DSGT members on topics such as Support Vector Machine, Ensemble Methods, and Intro to Deep Learning.
Planned, with other organizing members, Hacklytics 2020 datathon and presented a workshop to over 50 students.