Product Context & Impact

• 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

Technical Expertise & Leadership

• 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

Key Contributions

• 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

• Worked with the design and product teams to set feature roadmap

• 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

• Taking ownership of the the client-facing website development using React.js, Javascript, and SCSS

• 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

• Worked on a project from start to end and developed a user-friendly website allowing automated invoice checking and saving on average more than $450k in a year

• 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

• Created a cutting edge tool for optimizing Google’s Machine Learning patents management with a 3D environment using Virtual Reality and Natural Language Processing

• 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