I am currently a Senior Software Engineer at Angi. As a Senior Software Engineer at Angi for the past year, I've played a key role in several critical initiatives. This included ensuring FCC compliance for pro opt-ins during homeowner matching, migrating SMS communications to Iterable, and developing a behavioral analytics-driven data pipeline to showcase popular projects by geolocation on the homepage and in marketing communications. In total, this amounts to several million USD ARR in growth from new jobs being matched and completed from improved marketing as well as mitigations of lawsuit risk saving millions annually. Under the hood, I have been a strong advocate for our engineering org's push to modernize the tech stack, from moving legacy Java services into Kotlin to moving legacy batch processes into managed Flink jobs that support both event-driven and batch logic. As Angi accelerates into the AI space, I have worked with multiple engineering teams and architects to streamline ML model usage in the product.

Previously, I was at SurveyMonkey as a Software Engineer on the survey responses platform team. I played a crucial role in building out our next-generation cloud architecture to persist survey responses at scale. I have worked with several teams in cross-functional projects to add a new question type and migrate our services onto AWS EKS, Amazon's managed kubernetes offering. I also led a team of engineers to introduce AWS OpenSearch, Amazon's managed Elasticsearch, to improve greatly survey text response search from several seconds to the order of hundreds of milliseconds.

Prior to SurveyMonkey, I worked for around two and a half years at 23andMe on their Research Experience Team. Our team maintained and added new features to our survey research and studies platform. During my tenure there, I built out different user targeting features and question types for our studies. I built a system to collect user treatment data for various conditions, such as migraines and depression. And I owned and updated our research enrollment app that screened participants for specific studies with our partners such as GSK and MJF Foundation.

I also worked at a couple of startups and started my software career in that environment. I was a Full Stack Developer at Thryve, a microbiome bioinformatics startup that brings smart-probiotics to our users. My experience included front end projects with React.js, jQuery, d3, Sass/CSS, and Bootstrap. In addition, I built out our bioinformatics pipeline on AWS EC2 and S3 for generating taxonomies and abundance profiles from raw sequence data using Python with the Kraken and Qiime libraries. Special shoutout to Richard Lin who taught me the value of product and the product mindset.

At another startup, I worked as a Software Engineer at another startup called AirXSys that sought to bring smart-parking via computer vision and deep learning to individual users. The MVP was a webapp hosted on Apache EC2 served with the Express.js microframework. The data was updated on the front end via jQuery's socket.io library.

Before software, I worked for three years in the semiconductor industry as an etch Process Engineer at Applied Materials and supported 3D NAND, FinFET, and DRAM applications for Samsung, TSMC, Toshiba, and Micron. I regularly queried data with SQL into Tableau dashboards, and I scripted Python to aid in data processing.

My Alma Mater is the University of California, Berkeley, where I graduated with a BS in Chemical Engineering. It was at Cal that I grew my passion for science and engineering as well as learned the value of hard work and smart planning. My education also includes an MS in Computer Science from San Jose State University with a focus in object detection with deep learning. My master's project is a convolutional neural network that detects cars in a parking lot.

Outside of software, I like to play guitar, cook, explore the outdoors, play sports, work on my cars, or spend time with friends and family.