Associate Member of Technical Staff(Salesforce) July 2023 - Present
Working for performance engineering team at MuleSoft.
I'm a software engineer who graduated from the University of California, Berkeley, with a double major in computer science and data science.
I have experience in Python, Java, Scheme, HTML/CSS/PHP, Databases, Operating Systems, Data Analytics, AI, and Machine Learning.
Have worked at Salesforce, Intel, and Allganize (an AI startup).
Automated Change Data Capture between databases with Apache Kylo/Nifi
Created task managing app made specifically for college students
Placed in Cal Poly Pomona High School Programming Competition (sponsored by Northrop Grumman, National Security Agency, Snapchat, and Google)
Helped facillitate a team to create workflows for a bank, in order to automate document processing and streamline procedures, making the bank more efficient
BlackRock challenge winner. Created web application with React front-end, Javascript back-end, Google Cloud, Twilio, news, and stock API's that assists user in being informed about electric vehicles and helps the user in purchasing one through a simple and personalized experience.
Graduated with a double major in the College of Letters and Science at the University of California, Berkeley.
Graduation Date: May 2023
Working for performance engineering team at MuleSoft.
Supported frontend and backend development of power management tool using C++ and Qt.
Developed resource monitoring feature to record system usage (i.e. CPU, Memory, Disk, and GPU) when running workflows within the power management tool. Added cross-platform and remote support.
Revamped process monitoring by capturing error outputs and improving efficiency in discovering related child processes. Reduced original process monitoring code by length by 60%.
Resolved several customer concerns and implemented feature requests which led to an 11% increase in customer satisfaction.
Contributed to regression testing, critical bug fixes, and user documentation.
Utilized internal tools to diagnose consumer websites (e.g. Robot Process Automation), discovered bugs and bottlenecks in the user interfaces, and proposed solutions.
Improved front-end performance over three different websites by 77% on average.
Established front-end performance practices and workflows for the first time at MuleSoft (a Salesforce company).
Managed backend of AI application. Made performance improvements, implemented new features, and fixed bugs.
Overhauled OCR pipeline for document ingestion. Improved efficiency by reducing processing times by 20% and improved accuracy by 12%.
Researched and integrated multimodal AI model that finds the most relevant image to a client text query among a client's documents. Led to signed deal for the company.
Helped facilitate a team of five others to create workflows that automate the processing of documents and streamlines the process for other employees at the bank. Created a foundation for workflow automation, and established the effective uses of the workflow program. Integrated workflows for the first time at this bank.
Used Python and Java to automate change data capture (CDC) between various data sources (Hive, mySQL, msSQL, MariaDB, Oracle) while leveraging data analytics tools such as Apache Nifi and Apache Kylo.
Used Python to create adaptive optical character recognition software that picks up tax information from an invoice and used HTML and PHP to create a graphical user interface. (produced for Kotak Mahindra Bank)
Created image classification for a UAV to quickly identify the location, shape, color, and number of an object in a field. Written in Python and utilizes OpenCV and YOLO.