Developed critical, user-facing features for Google SecOps (formerly Chronicle), an enterprise security platform to help organizations detect, investigate, and respond to threats across their entire digital estate

Contributed to a period of hyper-growth, driving 105% YoY revenue growth and 310% YoY growth in monthly active users

Drove front-end development using Angular, RxJS, Angular Signals, and advanced CSS

Independently owned end-to-end front-end delivery for high-priority features, collaborating directly with Product Managers, UX Designers, and Researchers

MITRE ATT&CK Dashboard: Led UI implementation for a high-impact tool. Drove immediate adoption: 5,000+ visits and 600+ detailed interactions in the first month

Core Feature Ownership: Independently architected and delivered complex UIs for Composite Detections and the Gemini-powered query/rule generation tools, simplifying advanced threat hunting workflows

Search Experience: Developed key features across the primary investigation interface (Raw Log Search, Search Statistics, etc.)

Quality & Leadership: Active Google interviewer. Defined and implemented strict best practices (e.g., exhaustiveness checks) to prevent Sev-0/Sev-1 operational incidents

Designed and implemented user-facing products using Typescript, SCSS, Javascript, and Node

Applied deep understanding of web technologies to reason about engineering and design tradeoffs

Lead full stack frontend and backend development, building and maintaining high standards for work and working with the team to maintain them

Responsible for the data migration from ElasticSearch to Big Query, and its integration into the company website, improving data reliability and security

Implemented various features on the customer-facing side including, but not limited to, new dashboards, reports, filters, and CSV download links, to answer the client's needs

Revamped the user and client databases on Firebase for better user management on the app. Secured sensitive data and configurations with rules

Improved the user experience by implementing dynamic filtering and a cache control logic (with and without lifetime), resulting in less loading time and more than a 50% increase in customer engagement rate

Refactored the code into shared modules, components, and services to be reusable throughout the codebase

Reported and fixed bugs and defects. Documented every new phase before the deployment on production

Automated a tedious manual task requiring a person to work between five days to two weeks a month on it by building a tool that does the computation in less than two minutes

Used Big Query, Cloud Computing, SQL, Python, HTML, Javascript, and Web Scraping (BeautifulSoup, Requests, Selenium)

Improved my first version of the code and reduced the space complexity by 98% compared to the first implemented version

Responsible for the data cleaning, data processing, clustering, and visualization of the Google patents and its main competitors (IBM, Sony, and Microsoft)

Worked on a dimensionality reduction tool using Principal Components Analysis (PCA) to reduce the features of each patent from 1000 to 3

Completed a business analysis of how DeepMind, IBM, Sony, and Microsoft’s Machine Learning patents fit into Google's patent portfolio