Passionate Senior Software Developer dedicated to architecting distributed systems at scale. Passionate about complex problem-solving challenges. Recognized for swift execution, I thrive in high-speed environments. Backed by 7+ years of experience, I've consistently engineered systems that excel at scale.

Experience

2024 — NowRipplingSenior Software Engineer

2024 — Now

San Francisco Bay Area

2017 — 2023Wish - Shopping Made Fun!Senior Software Engineer

2017 — 2023

San Francisco Bay Area

Web rewrite and re-architect: Developed the MVP during a hackathon initiative to transform the initial website into a single-page application using React.js and Redux. Subsequently, re-envisioned pivotal web pages such as product, order history, feed, and etc.

Wish Assistant: Achieved a significant cost reduction annually in customer support expenses, leading to the award of the 2018 Wish Impact recognition. Seamlessly transitioning the conventional form-based customer support into an intuitive Chat-Bot style experience.

Promotion Framework: Led various holiday promotion experiments, resulting in a significant revenue surge compared to historical holiday data. Collaborated within a three-member team to develop an adaptable promotion framework, catering to diverse promotion types across iOS, Android, and Web platforms.

Fashion Products:

Played a key role in the design and implementation of a crucial feature page. Responsible for API design and seamless communication with internal microservices for data retrieval.

Social Features:

Contributed to the development of an experimental reward program, facilitating user cashback through in-app activities. Served as the primary point of contact for user-generated content features on the web platform, encompassing wishlists, reviews, photos, and videos.

2015 — 2017Talent Lab Inc.Software Engineer

2015 — 2017

Sunnyvale, CA

Overview: Built a project-based code challenge platform, ONE INTERVIEW, for employers to evaluate their candidates. Candidates’ qualification and level are rated automatically and properly by the machine-learning model we built.

Code Evaluation Service

Built tools that can integrate different open source libraries with our code challenge platform and extract signals from the code in different languages (Python, Ruby, Java, JavaScript, C++, swift, etc.) to generate coverage report, linter report, etc.

Provided standardized data (ex. coverage percentages, errors, warnings, etc.) among different languages to the machine-learning model with 20% performance improvement.

Integrated the evaluation service into the encapsulated Docker container, which is a lightweight virtual machine, to ensure isolation and performance.

Web Development (Ruby on Rails, AWS)

Built the whitelist to allow candidates to take multiple challenges upon requests from employers.

Increased the website responsiveness by 70% using the combination of media queries and better assets compression to download suitable assets based on browsing devices.

Code Challenge Performance Data visualization (c3.js & d3.js)

Used d3.js and c3.js to build an interactive performance breakdown dashboard for employers to easily understand each candidate’s ability among different coding skills with multiple visualized charts.

Expanding supportive language (Swift) and project-based code challenges

Refactored the logic of supportive languages of our platform and configured the environment of the evaluation service (backend) to support swift, as well as the online editor (frontend).

Expanded the pool of the code challenges with the corresponding solution, and ported it into different languages. (Python, Ruby, Java, JavaScript, C++, swift, etc.)