Ryan Tjakrakartadinata Email & Phone Number

California, United States

Responsible to design and develop a full-stack web application. I utilized Vue.js to create an intuitive and interactive front-end user interface, implemented Node.js to handle the back-end logic and server-side operations such as APIs, and employed PostgreSQL as the database management system for efficient data storage and retrieval.

Milpitas, California, United States

Performed ETL operation on a dataset with over 21 million rows and created a predictive application to enhance manufacturing efficiency. The application utilizes real-time queue data, batch sizes, operations, and tools to calculate processing time accurately.

San Francisco, California, United States

Provide guidance and support to students in their academic journey. This includes assisting them in completing assignments and projects by offering instructions, resolving errors using tools like Valgrind and GDB, explaining concepts, and answering their questions. Additionally, I am also responsible in grading student projects, evaluating their work based on established criteria and providing constructive feedback.

San Jose, California, United States

Their flagship product, AXOS, empowers service providers to rapidly and efficiently deploy new services on both fiber and copper networks. AXOS utilizes YANG, a network modeling language, to generate network elements. Typically, the YANG model is translated into XML format for easy transmission across different devices and software platforms.During the release of a new software version, one of the tests involves comparing the XML files of the older and newer versions to ensure the model functions correctly. In my role, I enhanced the code responsible for performing this comparison, enabling thorough and accurate checks.

Mountain View, California, United States

I standardized data using SQL and Regex, processing a large volume of patient names—over 20,000—which significantly enhanced data quality and accuracy. Additionally, I facilitated collaboration between two client-facing teams to consolidate essential client data into a centralized dataset. This consolidation eliminated the need for manual inquiries on a client-by-client basis, streamlining processes and improving efficiency.

Mountainview, California

• Trained machine learning model through data labeling• Queried and analyzed dataset from Google internal Database to support the launch of a new feature• Identified bugs from Google Search products and collaborated with relevant engineers to resolve the bugs, resulted in as much as 50% improvement in response coverage and accuracy• Surfaced data-driven insights to the stakeholders for the launch of new Google Search feature in Indonesia

Master Of Science - Ms, Computer Science, 3.90 / 4.00

Bachelor Of Science (Bs), Industrial Engineering