Hire the Top 2% of
Remote Ibm watson nlp Developers
in Taiwan

Wu H.

Ibm watson nlp developer in Taiwan (UTC+8)

A Data Scientist with three years of experience developing and managing data science projects, specializing in natural language processing, machine learning, and backend engineering. Proven ability in model building and data analysis, with demonstrated success in developing data-driven solutions to complex business problems.

Tino H.

Ibm watson nlp developer in Taiwan (UTC+8)

I am a Sr. Data Scientist and Tech Lead with expertise in machine learning, time series forecasting, and NLP modeling with an academic foundation in computational social science, with a focus on social network analysis and behavioral economics. I have led the development of production-level applications and implemented scalable big data pipelines. I have also conducted exploratory data analysis and developed Power BI reports. Additionally, I have experience in project management and market research. I have completed professional training in Deep Learning and Business Intelligence Analysis. My programming skills include Python, R, T-SQL, and Scala, and I am proficient in tools such as AWS and Git.

莊文立（Albert） .

Ibm watson nlp developer in Taiwan (UTC+8)

Visionary technology executive with a strong culture of innovation, rapid development, operational optimization, and cost efficiency. With eight years of experience in crafting creative business solutions, leveraging diverse methodologies, and delivering reliable software, I am seeking a staff or leadership position in Taiwan.

Shih-Wen T.

Ibm watson nlp developer in Taiwan (UTC+8)

I am Eric Tsou, currently serving as the Principal Data Scientist at Beagle Technology Inc., where I lead the development of internal AI and machine learning projects. I optimized the company's YOLOv4-based models by combining scene segmentation and object detection, and integrated these with a mechanical control framework to enhance agricultural harvesting efficiency. In terms of ML infrastructure, I streamlined the labeling process using large models, reducing the model iteration time by 80%. During my tenure as the Data Team Lead at Vinnovation Network, I helped the company establish automated data infrastructure and developed a recommendation system. This not only introduced a data-driven culture to the company but also increased the platform's conversion rate by 150%.

praveen P.

Ibm watson nlp developer in Taiwan (UTC+8)

I am an AI Software Developer located in Taipei, Taiwan, proficient in leveraging AI to resolve real-time issues. My expertise lies in the domains of smart manufacturing, computer vision, and the creation of customizable GPTs. Over the course of five years, I have cultivated my abilities and acquired valuable knowledge in utilizing AI technologies to address practical challenges. Presently, I am serving as an AI Software Developer at ViewSonic in Taiwan. My enthusiasm lies in collaborating with clients to devise cutting-edge AI solutions and overcome intricate problems. Should you have any inquiries or require support in these fields, please do not hesitate to contact me.

Jose C.

Ibm watson nlp developer in Taiwan (UTC+8)

I am a highly skilled and accomplished data scientist with expertise in deep learning and computer vision. I hold a Ph.D. in Mechanical Engineering from National Cheng Kung University, Taiwan, where my research focused on skin feature point tracking using deep feature encodings. In addition, I hold a Master of Science and a Bachelor of Science, both in Mechanical Engineering, from Kun Shan University, Taiwan. I have extensive experience in leading and executing data science projects for various industries such as agriculture, mining, and aquaculture. As a lead data scientist at Altum Lab in Santiago, Chile, I am responsible for ensuring the quality and integrity of data science projects, as well as experimenting with new deep learning models and techniques. Moreover, I have led research groups and developed deep learning models to distinguish between the metabolic processes of diseases such as Dementia with Lewy Bodies and Cognitively Normal subjects. My achievements include creating saliency maps for interpreting and explaining the decision process of deep neural networks and developing deep convolutional neural networks for classifying neuroimaging data from Mild Cognitive Impaired subjects. I have also presented research papers in various international conferences and co-authored papers that have been published in peer-reviewed journals. Overall, I am a creative problem solver with strong analytical and technical skills, capable of delivering high-quality results in fast-paced environments.