(JS, PHP, AWS, Node.js, Java, Pro Ads[Monetization] & SEO)

• Developed and owned backend services for large-scale user-facing web applications

• Maintained and enhanced online Ads system with multi-billion dollar revenue

• Worked with cross-functional teams to help professionals advertise their business, implemented new web components, and conducted A/B Tests for better ads serving

• Elevated the Leads Quality through spam-level analysis utilizing Message Queue(MQ) and the Data Warehouse / Big Data

• Identified performance improvement opportunities and cut the runtime by half through Solr and Ads server(Java) adjustments, leading to 5% retention increment

• Built and guided several end-to-end internal tools, starting from the system and data (MySQL) design docs, service platform(Thrift & PHP) to test automations; 3+ web teams benefited from these tools

• Mentored peers in tasks and career growth

(JS, Go, Gorilla, AWS, React, Redux, GA, Material UI, Antd)

• Designed and built a React/Redux web application to monitor trading activities

• Worked in a fast-paced, agile environment consisting of a cross-functional team implementing and deploying user email system with internationalization

• Created detailed technical designs, code, and unit tests for custom applications and data flows in the context of projects, releases, and production support

• Proactively innovated solutions to improve the security of RESTful APIs for KYC approval and MFA, provided technical estimates for user stories, articulated any technical risks and assumptions

• Performed code reviews and debugging, ensured code quality and reliability through unit and integration tests

• Established productive working relationships and maintained effective communications with teammates, clients, and end-users

Statistical Visual Computational Laboratory (SVCL), Advisor: Nuno Vasconcelos

Image Collection with AR.Drone — Python, Computer Vision

• Integrated the AR.Drone’s driver and OpenCV through Robot Operating System Framework to automate the image collection

• Designed classes and objects for image collection under category of ImageNet and ModelNet

• Utilized ResNet, AlexNet and VGG to run experiments on dataset, ImageNet and ModelNet

• Participated in design discussions and review sessions with team members, submitted paper to European Conference on Computer Vision in March 2018

Early Research Scholar Program (selective), Advisor: Andrew B. Kahng

Natural-Sounding Speech Synthesizer — Python

• Decreased the size of databases using Set Cover and the concept of domain-specific synthesis

• Devised and Implemented tags to organize the databases based on unit-selection synthesis

• Applied Dynamic Programming to efficiently retrieve the data and achieve high naturalness

• Incorporated digital processing to better improve output quality

• Identified and suggested improvements in methods, planed project of limited duration and scope, troubleshot when erroneous or unexpected results occurred