Software Engineer II on the Analyze Data and Insights team at Smartsheet, focused on building scalable systems and user facing experiences that help customers derive AI powered insights and make data driven decisions.

• Worked on Consumer Robotics/Astro Team at Amazon Lab126

• Developed a more robust and fault-tolerant FSM mechanism in an android app residing on Astro robot to handle errors and retries effectively for the patrol feature, allowing more seamless operation and improved user experience. Added flows and states for waiting and retrying failed scans for rotation or camera/recording errors on device to improve reliability of device’s home monitoring services.

• Designed and implemented an end-to-end method of handling floorplan point data generated from a device side android app that was previously being stored on a local sqlite database, to now being stored in cloud-based microservices and Amazon DynamoDB. Enabled efficient data utilization across multiple applications including the mobile companion app, device/cloud side floorplan, and mobility applications while establishing a single source of truth.

• Streamlined camera selection functionality of Amazon Astro’s home monitoring device app, allowing other features in app such as live view, patrol, and investigation to receive information on what camera to use via ARCUS cloud service configurations instead of using hardcoded values on device.

• Lectured 2 weekly discussion sections of 30-35 students each and held office hours to reinforce students’ knowledge of concepts including memory management, data structures and algorithms, and aspects of C++

• Assisted students daily in office hours and slack to debug code and clear course challenges

• Graded projects and labs to measure students’ performance and understanding of course content

• Primary full stack engineer on creating the Cheapdate app, a full stack app built with React Native that shows deals at restaurants to users and recommends spots based on user’s desired date time, location, and venue preferences. Developed the initial frontend and worked with client and UX designer to create a more user friendly redesign of application after user testing feedback. Build the backend infrastructure of the application, leveraging firebase to store user related data and retrieve data from an admin dashboard.

• Developed a frontend website built with Angular, for a local airline parts company that allowed customers to get information on what parts are available and to allow customers to request a quote and receive one from the company via email.

• Worked as an undergraduate research assistant in the Florida Institute for Cybersecurity Research (FICS Research) at the University of Florida.

• Applied adversarial machine learning techniques to manipulate protected attributes of dataset samples

• Investigated the fairness and susceptibility of machine learning models affected by gradient based evasion attacks