Tom Ding

Full Stack Java Developer at Target

New York City Metropolitan Area

Overview 

Tom Ding is a seasoned Full Stack Java Developer with a Master's degree from the University of California, Davis. Currently working in New York City Metropolitan Area, he has held significant roles at Target, Indeed, and Netflix, showcasing expertise in AWS Lambda, React.js, and other technologies. Tom's career highlights include developing applications for major corporations and possessing a diverse skill set in web development and cloud platforms.

Work Experience 

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Target

  • Full Stack Java Developer

    2021 - Current

    Contributed to the development of the Online Grocery Delivery Platform, focusing on local repository business logic processes and regular synchronization between the local repository and a cloud-based warehouse. Through the implementation of advanced synchronization mechanisms, the platform significantly reduced inventory discrepancies, improving inventory accuracy by up to 15%. This facilitated efficient inventory management, seamless order processing, and secure payment transactions, ensuring a smooth and reliable shopping experience for customers.

Target is a retailing company providing access to a wide selection of products such as furniture, electronics, toys, and others.

target.com
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Indeed

  • Full Stack Java Developer

    2019 - 2021

    Played a pivotal role in developing the enterprise job posting platform, concentrating on refining the user-friendly job posting interface and implementing advanced search and sorting features for candidate lists based on keyword relevance. This platform empowers companies to effortlessly post job vacancies and discover ideal candidates, streamlining the recruitment process with efficiency and ease.

Indeed is an employment-related metasearch engine for job listings.

Raised $5,000,000.00 from Union Square Ventures, The New York Times and Allen & Company.

indeed.com
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Netflix

  • Backend Java Developer

    2016 - 2019

    Developed and enhanced a dynamic movie rating and recommendation platform, focusing on aggregating online movie details, extracting user data, and delivering personalized recommendations. Utilizing a robust blend of Java, Spring Boot, Python, and artificial intelligence technologies, the platform aimed to offer users insightful recommendations, enhancing their overall movie-watching experience.

Netflix is an online streaming platform that enables users to watch TV shows and movies.

Raised $4,907,714,724.00 from Saul Bisht and TCV.

netflix.com

Education 

Articles About Tom

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