I work as a Software Engineer with full-stack responsibilities on a web development team, contributing to both frontend and backend features in an Agile environment. Raytheon (RTX) is a multinational conglomerate that specializes in aerospace, defense, and national security technologies.

TECHNICAL PROJECT (Ongoing):

Since the start of the project, I’ve designed and developed modular, scalable features across the SDLC, including REST APIs that can hold over 5,000 data items. I’ve also implemented comprehensive automated testing through Cypress, which validated real-world user scenarios, reduced UI bugs by roughly 20%, and eventually led to me becoming recognized as the team’s Cypress SME. On the backend, I designed scalable JUnit tests that streamlined Jenkins release cycles, prevented recurring server bugs, and saved more than 20 hours of manual debugging per release.

Beyond standard development tasks, I led the team’s early-stage migration from the licensed Cesium map server to the open-source GeoServer, despite having no prior experience, resulting in a cost-effective solution that now supports more than 3 applications.

I also contribute regularly to sprint demos and stakeholder presentations, where I frequently utilized illustrations and recordings to bridge the technical gap between stakeholders and engineers. For example, I once used a PowerPoint illustration to explain a complex date-filtering feature involving overlapping time ranges, a challenge that required communicating the concept in a way anyone could understand.

An accomplishment that I'm proud of was being selected to present on test automation at the ISaCTN Symposium in Tucson, a competitive opportunity that only a select few are chosen for each year. This was both ultimately a very rewarding and exciting experience.

📚 TECH STACK: TypeScript, HTML, CSS, Java, Python, Angular, Cypress, JUnit, Maven, Jenkins

I worked as a web developer intern at Extreme Networks, a leading networking company specializing in the design and manufacture of wired and wireless networking hardware, along with software for network management, analytics, and security.

TECHNICAL PROJECT:

During my internship, I was part of the UI team responsible for maintaining the customer dashboard for placing hardware orders. I diagnosed and fixed front-end bugs in the AWS-hosted dashboard, which improved UI responsiveness and ensured accurate order displays for more than 1,000 users. I also collaborated closely with the team to debug and resolve issues, cutting bug resolution time by around 15% while sharpening my skills in troubleshooting, code reviews, and front-end development practices.

I also documented recurring front-end issues and their resolutions, which accelerated team workflows and improved system reliability by around 10%. One of my key contributions was optimizing dashboard components in Angular using TypeScript, HTML, CSS, and SASS, particularly refining the category board feature to enhance usability and overall user experience.

📚TECH STACK: Typescript, HTML, SASS, CSS, AWS EC2, Angular

I analyzed simulated data for SLAC National Accelerator, which is a world-renowned facility that explores ideas from particle physics, astronomy, dark matter, etc. They take on projects to in hopes, get answers to fundamental scientific questions about our universe.

TECHNICAL PROJECT

My team was apart of the Rubin Observatory, a large telescope that is now currently in Chile, and I was tasked with handling simulation data from the Rubin Observatory telescope. Through this project, I analyzed Python models using Rubin Observatory simulation data and revealed that wide-band filters provide 5–10× more image coverage than narrow-band filters. To balance that finding, I configured Jupyter Notebook plots to compare precision across both filter types, discovering that narrow-band filters achieve 2–5× higher precision. I also modeled a system throughput chart to evaluate telescope performance across light wavelengths, uncovering that fainter objects require 150–200% longer exposure times for clear imaging.

At the end of the internship, I composed a six-page research paper detailing these findings.I ultimately concluded that although narrow-band filters are more resource-intensive, their superior precision makes them invaluable for capturing high-precision astronomical images earlier in the observation process, which is not a guarantee with wide band filters.

📚 TECH STACK: Python, Jupyter Notebooks

Delta Machine is a small precision machining company specializing in CNC milling and turning to produce complex parts with high accuracy. They work with alloys and exotic materials such as titanium, tungsten, G10, and stainless steel. During my time there, I gained hands-on exposure to the operation and functionality of CNC turning and milling machines, including observing and developing an understanding of how G-Code is used to control machine paths and tool operations.

Toward the end of my internship, I had the opportunity to assist in creating a robotic arm, including supervised handling of Bowden cables.

📚 TECH STACK: G-Code