I've always been passionate about data. The way data can mislead or present itself in a deceptive manner always has intrigued me. For example: In World War 2, the Royal Air Force suffered extensive losses to anti-aircraft fire and wanted to save their pilots' lives by reinforcing their fighters' armor.

2022 — NowMetaSoftware Engineer

2022 — Now

Instagram Machine Learning Experimentation

2022 — 2022ProofpointSoftware Engineer Intern

2022 — 2022

Sunnyvale, California, United States

Aperture Team

Enabled anti-forgery tokens in HTML elements to prevent cross-site request forgery attacks in .NET and C# application

Constructed hashing solution to store large resources into compressed strings for storage and decompressed when needed

Implemented UI and style improvements and bug fixes in razor HTML and JavaScript to improve user experience

2021 — 2021NASA Glenn Research CenterData Science Intern

2021 — 2021

Researched new data science tools involving machine learning and digital twins to provide powerful tools for the agency

Provided advice for usage of new tools in order to guide implementation and adoption of new tools in various projects

Introduced explanatory tools in ML models to provide insights into black box algorithm, increasing ML adoption in projects

2021 — 2021AmazonSoftware Development Engineer Intern

2021 — 2021

San Francisco Bay Area

Constructed new Lambda in Python that handles retrieval, construction, and generation of resources to/from DynamoDB

Implemented new feature of client facing AWS service in TypeScript and React that auto-generates reports and displays to

clients based on user input that is used to query Elasticsearch in new Lambda that is accessed through REST API call

Deployed new CloudFormation stack to integrate new service with existing microservices and monitored with CloudWatch

Tech Stack Used: TypeScript, JavaScript, React, Python, DynamoDB, AWS Lambda, API Gateway, CloudWatch, CloudFormation, CloudTrail, IAM Roles, AWS EC2, AWS SageMaker, Elasticsearch, and Postman

2021 — 2021Deliverr Inc.Software Engineering Intern

2021 — 2021

San Francisco Bay Area

Deliverr is an e-commerce platform that provides shipping services and logistics for businesses around the U.S and one of LinkedIn’s 2020 Top Startups in the USA.

Conducted Funnel Analysis using Heap and Snowflake to identify bottlenecks and reduce user touchpoints in web app

Implemented UI changes to Frontend using TypeScript, React, and styled components to reflect Backend logic to users

Designed Backend APIs to retrieve data from Snowflake tables, transform, and load into application’s MySQL tables and constructed unit tests in Jest to check validity and functionality against invalid arguments and edge cases

Tech Stack Used : TypeScript, Python, CSS, React, Jest, AWS Lambda, Snowflake, MySQL, Less CSS, and React styled components

Education

2018 — 2022

San José State University

Bachelor of Science - BS

2018 — 2022

Experience+

Education

Bachelor of Science - BS