- Led over 30 TAs in managing class operations and maintaining course infrastructure- Assisted in teaching over 900 students.- Held weekly office hours on various topics such as application security, cryptography, networking security, web security, and forensics.

- Co-founded and developed an AI-driven career discovery platform for students in 2 months with a team of 4.- Built a Nest.js pipeline to create 200+ custom AI models without requiring training or fine-tuning using return-augmented retrieval.- Deployed the AI framework and a Mongo Database on Google Cloud Platform protected by a Google Cloud Armor load balancer.- Performed over 200 customer discovery interviews with career centers, employers, and students to understand the problem space.At Zoomr, we've created hundreds of domain-level AI experts in specific job areas that students can chat with at scale. Students who converse with these experts can ask any question related to that expert's occupation and receive responses with real and validated information. Our goal is to lower the barrier of entry for students to discover new careers while alleviating the burden of university career centers tasked with assisting massive amounts of students with limited resources.

- Engineered a service that ensures the persistence of Kubernetes testing environments for the team's testing suite leveraging GitHub Actions, NodeJS, NextJS, Redis, Bash, and the Google Cloud Platform.- Deployed through Helm and Google's Kubernetes Engine for uptime and reliability.- Implemented automated microservice redeployment and retesting on the Kubernetes test cluster using Python.- Developed a dynamic diagnostics analyzer using Python, GitHub Actions, and Cypress.- Significantly improved debugging efficiency, reducing engineers' debugging time by 1-2 days per week for a 100+ member team, with the tool being successfully utilized for 3 weeks prior to the end of the internship.Working with the test automation team, we built a service that solved the problem of engineers not being able to access the Kubernetes cluster that the automated testing suite runs on. Previously to retest changes and fixes to a microservice, engineers would have to fully re-run the testing pipeline. This process involved downloading 20+ microservices, deploying a fresh test cluster, rebuilding the services, and re-executing the test which took around 20 minutes to fully complete. Our service streamlined this process, enabling engineers to extend the life of cluster environments. They can also clone environment replicas to their local machines, trigger automated rebuilding and redeployment of only the altered services on the cluster, and rerun the testing suite, completing the task in just 5 minutes.Furthermore, I developed a diagnostics analyzer capable of parsing through broker logs to identify deviations from the expected log content. This tool drastically improves the time in identifying microservices that generate unexpected responses or no responses at all.

- Assisted and tutored a dozen students weekly on various topics related to Design and Analysis of Algorithms.- Helped professors design homework and construct the solutions and rubrics for homework and exams.- Graded 400+ papers semiweekly analyzing the correctness of students’ algorithms on various scenarios

- Developed a virtual reality shopping experience called MetaMart by integrating with NCR's API, Oculus Quest 2, the Unity engine, and LiDAR and Photogrammetry technologies.- Developed 3 separate API servers utilizing the Swagger framework and interfaced with them through C#. - Implemented the merchandise item management system through custom API servers and the Unity Engine.- Integrated with NCR’s cataloguing APIs in C# to dynamically update the Virtual Reality item availability.The project allowed NCR customers to scan their retail stores and integrate them into a virtual reality environment. Items could be selected from a catalog or scanned by the retailers themselves, and the merchandise quantities and locations in the real stores can be directly mapped to the VR store to create a 1-to-1 virtual reality experience of the real-life store.

- Created an automation to create, initialize, and link the different third-party accounts for Itential new-hires utilizing AGILE methodolgies.- Made the onboarding process for new hires 10x faster for the Operations team.- Onboarded ~30 new full-time employees prior to me leaving.- Integrated the REST API libraries of Slack and Microsoft Graph into Itential’s Adapter library for future automation.- Refactored and updated the component discovery system of Itential’s low-code platform in JavaScript.Throughout the project, we used AGILE methodologies to construct, revise, and test our automation with the Operations team being our pseudo-client. By the end of the internship, our automation had successfully onboarded 30 new hires into the company which only has around 200 employees.