Yc style English resume

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Haisheng Wang

• Location: Shenzhen, Guangdong Province, China
• Experience: 10 years
• Interested in: Product roles
• Last Active: a few seconds ago

About

AI domain expert specializing in the development and management of integrated hardware and software products.

Work

Automation Engineer
TikTok Studio Uploader Project
Aug 2021 - Jul 2024

• Developed and maintained an automation script leveraging multiple technologies including Selenium, Playwright, UIAutomator, and Python to facilitate seamless video uploads to TikTok Studio.
• GitHub Repository
• Engaged with the open-source community by addressing issues, reviewing pull requests, and incorporating feedback to improve project reliability and performance.

Key Achievements:

• Successfully automated the upload process, reducing upload time by [percentage]% and minimizing errors associated with manual uploads.
• Integrated OAuth authentication with TikTok API, enabling secure access to user accounts and enhancing data privacy.
• Received recognition within the GitHub community for contributions to open-source automation tools and frameworks.

Technologies Used: Selenium, Playwright, UIAutomator, Python, OAuth

Learning Outcomes:

• Expanded proficiency in automation frameworks and tools such as Selenium and Playwright, gaining hands-on experience in web automation and cross-browser testing.
• Enhanced skills in API integration and authentication mechanisms, contributing to the project’s scalability and security posture.

Product Manager
Xi’an Tianhe Defense Technology Co., Ltd.
Jul 2022 - Apr 2024

• Managed end-to-end process of AI-driven smart health watch product development.
• Led definition of Traditional Chinese Medicine smart watch functionalities and app design.
• Coordinated Beijing tech team to advance core AI algorithm SDK development and integration.

Achievements:

• Completed full process from requirements analysis to prototype production within 6 months, launching the app and smart watch prototype.
• Designed and implemented AI-driven service loop of data collection, assessment, and personalized interventions.
• Developed AI-based sleep quality assessment model and personalized adjustment recommendation engine.

Project Experience

Tianhe Cloud Pulse Smart Watch
Product Manager | 2022.07 - Present

• Developed intelligent health watch based on TCM model, achieving AI interpretation of health data and personalized interventions.

Product Director
Shenzhen Fondy Health Technology Co., Ltd.
Jun 2021 - Jun 2022

• Planned and delivered AI products for refined medical insurance management.
• Led co-creation and version planning of AI-based NLP DRG/DIP medical insurance refinement products.

Achievements:

• Completed project delivery within 3 months, addressing critical product issues and ensuring timely Phase 1 launch.
• Designed and implemented AI-based medical insurance pre-audit function, reducing medical insurance fund refusal amount for hospitals.

Product Manager
Shenzhen Noble Medical Technology Co., Ltd.
Sep 2020 - Jun 2021

• Managed AI+ medical device product line, promoting computer vision technology in healthcare.
• Managed intelligent management terminal for toxic and narcotic drugs.

Achievements:

• Trained detection and recognition models for 100+ types of toxic and narcotic drugs (bottle, ampoule), achieving an overall structured data accuracy of 85%.
• Built a team of 7 from scratch in less than 7 months, achieving software and hardware integration and delivering 3 prototypes.

Project Experience

Toxic and Narcotic Drug Intelligent Management Terminal
Business Manager | 2020.11 - 2021.06

• Developed computer vision-based toxic and narcotic drug intelligent management system.

Product Manager
Shenzhen TechEmpower Technology Co., Ltd.
Jul 2018 - Sep 2020

• Designed and developed intelligent terminal products for premature infant screening.
• Designed multimodal AI models integrating video data, cry data, and pressure data for intelligent assessment of infant development status.

Project Experience

Early Detection Integrated Machine for Infant Cerebral Palsy
Product Manager | 2018.10 - 2020.06

• Developed cerebral palsy screening device combining depth camera and AI pose recognition technology.

Data Business Manager
Shenzhen Giant Medical Co., Ltd.
Jul 2015 - Jul 2018

• Responsible for building medical big data platform and AI-driven commercial exploration.
• Managed a team of 20 (10 application developers, 10 algorithm developers).

Project Experience

Full Process Hospital Self-service Terminal with Face Recognition
Product Manager | 2017.03 - 2018.03

• Designed new generation intelligent service terminal supporting face recognition.

Medical Self-service Cloud Platform
Big Data Manager | 2015.09 - 2018.06

• Built medical big data infrastructure platform.

Architect
Wanda Information Co., Ltd.
May 2012 - Jun 2015

• Participated in designing regional health information platform based on SOA architecture.

Education

• Master of Engineering (ME) Biomedical Engineering
  University of Electronic Science and Technology of China | Jul 2012

Skills

• Python (intermediate)

Preferences

• Only open to remote work.
• Willing to relocate to anywhere in the US.
• Authorized to work in the US / visa sponsorship required.

What I’m Looking For

In my next role, I am eager to continue innovating within the healthcare industry, leveraging cutting-edge AI technologies such as NLP, OCR, and computer vision. I seek opportunities where I can lead or contribute significantly to projects that improve user experiences.

I am particularly interested in roles that allow me to:

• Work on challenging AI-driven product development, from conception to deployment.
• Collaborate with cross-functional teams in an agile environment to drive innovation and deliver impactful solutions.
• Explore and implement advanced technical architectures, including microservices and cloud platforms.
• Engage with healthcare standards like HL7 and FHIR to ensure interoperability and compliance.

What I aim to avoid in my next role are stagnant environments lacking in innovation, where there’s limited opportunity to grow professionally or contribute to meaningful advancements in healthcare technology. I value teams that foster open communication, support continuous learning, and prioritize the ethical implications of AI in healthcare.

Project I’m Proud Of

Project: Medical Self-service Cloud Platform

Background:

Nine years ago, our company was a leading vendor of self-service kiosks in China, deployed in numerous hospitals across the country. Each hospital faced unique challenges in data collection and report management, particularly concerning lab reports and diagnostic data. The diversity in report formats and terminologies made it difficult to standardize data presentation across our kiosk network.

Traditionally, obtaining data from hospitals relied heavily on vendor-provided interfaces. This approach was fraught with issues:

• High Costs: The cost of acquiring and maintaining these interfaces was substantial.
• Quality and Reliability Issues: Interface documentation was often inadequate or unreliable, leading to inconsistencies and technical difficulties.
• Long Implementation Cycles: The integration process was time-consuming, with extended implementation periods that hindered rapid deployment and responsiveness. To address these challenges, we decided to adopt a more innovative approach using RPA (Robotic Process Automation) to streamline data extraction and integration.

Motivation:

Our goal was to enhance user accessibility to medical information via mobile apps and self-service kiosks while overcoming the limitations of traditional data integration methods. We aimed to improve both the technical and commercial aspects of data handling, ensuring a more efficient and cost-effective solution.

Technical Details:python+c+nginx+lua+ceph

Challenges in Implementation:

• High Costs and Quality Issues with Traditional Interfaces: Vendor-provided interfaces were expensive and unreliable, leading us to explore alternative solutions.
• Complex Report Formats: Diverse and inconsistent report layouts posed significant obstacles to standardization.

Adoption of RPA and Advanced OCR:

• RPA for Data Extraction: Implemented RPA to automate the data extraction process, bypassing the need for costly and unreliable vendor interfaces. This approach allowed us to efficiently collect and process data from a wide range of report formats without relying on traditional integration methods.
• Direct Parsing of PDF and XPS Files: Developed capabilities to directly handle structured PDF and XPS files, which simplified data extraction for well-defined formats.
• Innovative OCR Solutions: For unstructured files, introduced an intermediate format capturing each character and its spatial coordinates. This facilitated more accurate layout analysis and data extraction, addressing the limitations of traditional OCR methods.
• Technological Advancements: Transitioned from traditional OCR algorithms to advanced techniques using CNN (Convolutional Neural Networks) and LSTM (Long Short-Term Memory) networks. This leap in technology significantly improved accuracy and efficiency in data processing.

Business and Technical Integration:

• Intermediate Format Development: Created a standardized intermediate format for character mapping and spatial coordinates, enhancing the precision of layout analysis and data extraction.
• Cost and Time Efficiency: By leveraging RPA and advanced OCR technologies, we reduced integration timelines from months to weeks and lowered implementation costs, making the solution more commercially viable.
• Enhanced User Experience: Improved the accessibility and presentation of medical reports via mobile apps and kiosks, resulting in a better user experience and higher adoption rates.

Personal Contribution:

As a leading contributor:

• RPA Implementation: Spearheaded the adoption and deployment of RPA for efficient data extraction, bypassing traditional interface challenges.
• OCR Advancements: Led the development of advanced OCR solutions, focusing on transitioning to CNN and LSTM-based models.
• Intermediate Format Design: Proposed and established the intermediate format for accurate character mapping and spatial coordinate analysis.
• Research and Innovation: Conducted extensive research, documented in my GitHub repository on OCR technologies, to drive innovation and practical solutions.

Achievements:

• Successfully replaced costly and unreliable vendor interfaces with RPA, achieving a more efficient and scalable data integration process.
• Implemented advanced OCR technologies that enhanced data extraction accuracy and reduced operational costs.
• Delivered a scalable, cloud-based platform that improved healthcare data accessibility, demonstrating a successful blend of technological innovation and practical business solutions.
• This project exemplifies my ability to integrate advanced technical solutions with business needs, showcasing how innovative approaches can resolve complex challenges in healthcare IT infrastructure.

Company Preferences

Looking for companies with 1-10 or 11-50 employees.