Timothy Wang Email & Phone Number
Who is Timothy Wang? Overview
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Timothy Wang is listed as Game Data Analyst at NVIDIA (via TCWGlobal), based in San Francisco Bay Area, United States. AeroLeads shows a matched LinkedIn profile for Timothy Wang.
Timothy Wang previously worked as Associate Software Engineer at Gracenote and Software Engineer Intern at Gracenote. Timothy Wang holds Bachelor Of Science - Bs, Computer Science from University Of Southern California.
About Timothy Wang
Hi, I’m Timothy! I’m an analytical and detail-oriented professional with a passion for developing innovative software solutions, improving system performance, and optimizing data management. I thrive on creating scalable, efficient processes that enhance user experiences and streamline operations. My expertise spans cloud services, automation tools, and resource optimization, all of which I leverage to drive project success. I love collaborating with cross-functional teams, troubleshooting complex challenges, and improving code quality to build strong engineering environments. From writing complex scripts to automating workflows, I’m dedicated to delivering impactful solutions that meet user needs and support strategic business objectives.
Timothy Wang's current company
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Timothy Wang work experience
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Associate Software Engineer
During my time at Gracenote, I achieved promotion from intern to Associate Software Engineer by consistently demonstrating exceptional performance and contributions. My duties involved leading the development of a new subtypes category to improve descriptor organization, significantly enhancing our editors’ efficiency in locating keywords. I also implemented a second EC2 instance to alleviate high CPU usage, diving into Terraform and AWS EC2 to double our application's efficiency and improve response times. I also created a new product that generated engaging snippets for effectively promoting new shows and movies to clients.In the Advanced Discovery Ngravr Project, I reduced keyword search time by 50% through a new subtypes feature that I spearheaded. My dedication and consistent performance earned me a promotion from intern to Associate Software Engineer.Collaborating with over 70 editors and users, I refined our movie and TV show personalization features to better meet their needs. To boost development efficiency, I utilized Ansible scripts for automated environment setup and scheduled utility tasks via cron jobs.In the Reasons To Watch Project, I generated and ranked text snippets based on relevance through PySpark scripts that accessed Hive Metastore data lakes. Additionally, in the Video Popularity Project, I developed a Scala glue script that efficiently compiled millions of titles into the top 20K daily, enhancing our ability to track trending content.
Software Engineer Intern
As a Software Engineer Intern, I collaborated with cross-functional teams to design and implement scalable data processing solutions that significantly improved the efficiency of the MTurk data pipeline. I took pride in troubleshooting and debugging data flow issues, which contributed to enhancing the pipeline’s performance. Additionally, I actively participated in code reviews and documentation efforts, fostering a culture of collaboration and knowledge sharing within our engineering team. This experience not only sharpened my technical skills but also reinforced my commitment to continuous improvement and teamwork in software development.Below are my Key Contributions in this role:• Implemented new features to the Advanced Discovery Ngravr Project, including a bookmarking function that streamlined program sorting for editors.• Designed a pipeline to automate MTurk HITs, surveying hundreds of users to compare thousands of descriptors and images resulting in achieving a 35% reduction in field data collection time.• Developed a script to parse the database and uploads dozens of permutations to MTurk and S3 weekly, streamlining data management.
Software Engineer Intern
While serving as a Software Engineer Intern, I had the opportunity to showcase our app to company stakeholders, successfully advancing it to the next production phase across the US. I actively engaged in agile development processes, participating in daily stand-ups and sprint planning to provide incremental updates on project milestones. I also contributed to code reviews and documentation efforts, ensuring we maintained high standards of code quality and project transparency throughout the development process. This experience not only enhanced my technical skills but also strengthened my ability to collaborate effectively in a team-oriented environment.Below are my Key Contributions in this role:• Developed and presented an intuitive mobile app aimed at enabling users to install a Nielsen Meter independently.• Saved $200 to $400 per trip and reduced installation time from one hour to under 15 minutes by eliminating need for field representatives.• Designed an app to provide installation instructions and syncs with a Nielsen Meter while successfully demoing the product to stakeholders and paving the way for the next stage of production.
Timothy Wang education
Bachelor Of Science - Bs, Computer Science
Bachelor Of Science - Bs, Computer Science, 3.8
High School Diploma, High School/Secondary Diplomas And Certificates
Frequently asked questions about Timothy Wang
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What company does Timothy Wang work for?
Timothy Wang works for NVIDIA (via TCWGlobal).
What is Timothy Wang's role at NVIDIA (via TCWGlobal)?
Timothy Wang is listed as Game Data Analyst at NVIDIA (via TCWGlobal).
Where is Timothy Wang based?
Timothy Wang is based in San Francisco Bay Area, United States while working with NVIDIA (via TCWGlobal).
What companies has Timothy Wang worked for?
Timothy Wang has worked for Nvidia (Via Tcwglobal), Gracenote, and Nielsen.
How can I contact Timothy Wang?
You can use AeroLeads to view verified contact signals for Timothy Wang at NVIDIA (via TCWGlobal), including work email, phone, and LinkedIn data when available.
What schools did Timothy Wang attend?
Timothy Wang holds Bachelor Of Science - Bs, Computer Science from University Of Southern California.
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