Xindian "Shindian" Long

Deep Learning Team Leader & Principal Machine Learning Developer May 2021 – Now

§ Lead the research & development for the Deep Learning team.

§ Work with the upper management, internal and outside customers, and collaborate with other teams to establish goals for the team, prioritize tasks and assign tasks to developers.

§ Provide professional and moral support for the team by sharing knowledge and experiences, providing guidance, removing major obstacles, offering praise and feedback, providing opportunities to showcase their work, etc.

§ Run the scrum meetings, monitor the development process, adjust stories when needed, provide feedback for issues, and report progress to the upper management.

§ Collaborate with the testing team, product/project management to ensure smooth delivery of products in the CI/CD pipeline.

§ Lead the team to the successful delivery of the first release of Pytorch based deep learning action set (dlModelzoo) in Sept. 2022 according to schedule.

§ Continuously improve and add more features, as well as DL models to the dlModelzoo action set through a CI/CD pipeline.

§ Developed a hybrid multi-process-based framework for hype parameter tuning and training for deep learning models.

§ Developed a mechanism to incorporate Torchscript based deep learning models in the DlModelzoo action set.

§ Developed a mechanism to incorporate and customize Python Pytorch models in the DlModelzoo action set.

§ Developing patents for innovative research and development.

• Developed an enterprise data architecture plan to ensure data is consistent and secure across multiple systems.
• Determined optimal approaches for storing, managing, analyzing, and visualizing large volumes of complex data.
• Maintained up-to-date documentation on all aspects of the enterprise data architecture.
• Analyzed user feedback from customer surveys or interviews to develop better insights about customer needs and preferences.
• Identified potential risks associated with using different types of technology within the organization's information systems environment.
• Assisted in troubleshooting any issues related to the organization's data warehouse or other analytics solutions implemented within it.
• Provided training sessions on topics related to Big Data analytics solutions.
• Ensured that all development teams are following best practices regarding the design of databases and other related components.
• Built relationships with key stakeholders including IT managers, executives, operations personnel and vendors to ensure smooth implementation of projects.
• Provided guidance on how to utilize various technologies such as Hadoop, NoSQL, MongoDB. to maximize efficiency in the organization's data infrastructure.
• Implemented ETL processes to integrate disparate datasets into the organization's big-data platform.
• Reviewed current policies relating to security compliance regulations applicable in the organization's jurisdiction.
• Established procedures for quality assurance testing prior to deploying new applications into production environments.

• Assisted in writing grant proposals for additional funding opportunities for ongoing projects.
• Developed methods for extracting relevant information from large datasets.
• Performed literature reviews to stay abreast of current developments in the field of research science.
• Identified potential problems and developed solutions related to research projects.
• Evaluated the accuracy of data obtained from experiments through quality control testing procedures.
• Analyzed data using statistical methods and software packages such as SAS, SPSS, and R.
• Evaluated test results against established standards before making recommendations regarding further action or analysis.
• Managed inventory levels of supplies needed for laboratory operations.
• Collaborated with other researchers from different departments within the organization to develop more effective strategies for conducting experiments.
• Participated in conferences and seminars related to research science topics.
• Designed and maintained databases to store experimental results, analyze trends, and facilitate future research efforts.
• Developed and implemented research protocols to identify novel compounds with specific characteristics.
• Mentored junior scientists in basic laboratory techniques and safety procedures.
• Researched new technologies that could be used to improve existing processes or create new products.
• Conducted laboratory experiments to evaluate the efficacy of various compounds in a range of applications.
• Provided technical support during presentations of project progress at internal meetings or external events.
• Reviewed scientific papers submitted by colleagues prior to publication submission.
• Prepared detailed reports on research findings for presentation to management or external funding sources.
• Coordinated activities between multiple laboratories working on similar projects.
• Participated in development of operating guides.
• Created and implemented new research methods to explore mechanisms of biological processes.
• Maintained clean and fully operational laboratory equipment.
• Shared research findings through publications, presentations and conferences.
• Investigated customer complaints related to product performance issues.
• Documented all experiments conducted according to organizational policies and regulatory requirements.
• Studied physical principles of cells, organisms and electrical or mechanical energy.
• Developed reports and recommendations regarding research outcomes.
• Investigated gene composition and expression, as well as genetic engineering principles and effects.
• Managed laboratory personnel and monitored team performance and work quality.
• Maintained secure study files and reviewed results of evaluations.
• Performed experiments to explore acceptable methods of nuclear material usage, nuclear fuel reclamation, and waste disposal.

• Utilized version control tools to manage source codes across multiple projects.
• Conducted code reviews to ensure adherence to coding standards and best practices.

While working towards my Ph.D., I worked to convert my research in computer vision/biomedical image processing into commercial software for the start-up company.

Helped to deliver an innovative video-based eye-tracking system for medical applications with state-of-the-art performance and increase its market share.

§ Developed a robust high-speed eye-tracking system with a higher frame rate (200 Hz x 2) and higher accuracy than available online video-based eye-tracking systems using only off-the-shelf computer system and digital cameras.

§ Designed a robust torsion eye-tracking system with high performance in terms of frame rate and accuracy.

§ Developed a novel computer vision calibration system with better accuracy by utilizing the pupil shape at different eye position.

§ Developed a pupil size monitoring and feature extraction system for the screening of Diabetic Retinopathy (DR).