Full Stack Engineer | Backend Specialist | Cloud Infrastructure Architect
About
I’m a Senior Cloud & DevOps Engineer with a knack for solving tough problems using tools
like Terraform, Kubernetes, and CI/CD pipelines. Over the past few years, I’ve built automated
deployment systems that cut provisioning time by 40%, optimized cloud costs saving $50M
annually, and delivered scalable infrastructure for 5G networks.
I’ve also got a soft spot for sustainability - I love weaving eco-conscious strategies into tech
projects whenever possible. Whether it’s designing resource-efficient systems or finding new
ways to automate, I thrive on creating solutions that work smarter, not harder.
This project aims for people to get a better understanding of the carbon footprint of their daily commute based on the vehicle they drive. The app also shows how much carbon can be saved on the commute by taking a bike, working from home some days, or taking public transportation.
Carbon data is also shown as carbon equivalences such as the amount trees can absorb or meat consumption to create a better understanding of impact beyond just numbers.
🔗 MuleSoft Integrations
AT&T
I designed and implemented integration layers using MuleSoft to connect legacy systems with modern APIs seamlessly. This project involved bridging communication gaps between legacy SOAP APIs and contemporary platforms, ensuring efficient data flow and interoperability across the tech stack. My contributions streamlined integration workflows, and improved data reliability for internal teams.
Tech Stack: MuleSoft, SOAP APIs, REST APIs
🤖 Gen AI Vulnerability Remediation
AT&T
In this project, I developed an AI-powered tool that streamlines vulnerability detection and accelerate remediation timelines. By integrating OpenAI models, the project automated vulnerability analysis and enabled automatic code patching where possible, minimizing manual intervention. This innovation significantly improved security response efficiency and reduced critical exposure time across systems, and provided a scalable solution for proactive risk management.
Tech Stack: React, Node.JS, AI Libraries
📲 Field Connect
AT&T
I lead the development of a prototype communication platform leveraging Twilio to streamline internal workflows. The system enabled dynamic communication between AT&T Fiber backend teams and agents out in the field, enhancing response times and operational efficiency for the physical infrastructure. While this project remained a proof of concept, it demonstrated scalable potential for future communication tools.
Tech Stack: Twilio, Node.js
🎸 Artist Connect
School Project - University of Texas at Austin
Tech stack: Linux, Apache, MySQL, PHP, PostgreSQL
Artist Connect was a conceptual platform designed to bridge the gap between independent artists and potential collaborators. I contributed to developing core functionalities, creating a seamless user experience, and ensuring backend stability. While this project remained an academic exercise, it showcased innovative design thinking and cross-team collaboration.
5G Deployment Pipelines
AT&T
I played a key role in designing and optimizing CI/CD pipelines to support the automated deployment of 5G cloud network functions. This project focused on automating the deployment of cloud resources such as dbs and key vaults, establishing secure connections with on premises servers, and ensuring seamless updates across distributed systems. My contributions streamlined release cycles, reduced deployment errors, and reduced the development time for 3rd party vendors.
During my time at AT&T, I contributed to several large-scale initiatives aimed at enhancing system reliability and integration. I led the development of an AI-driven tool to reduce vulnerability remediation times, designed scalable integration layers connecting legacy systems with modern APIs, and built proof-of-concept applications to improve internal workflows. My work focused on driving efficiency, scalability, and long-term reliability across critical infrastructure systems.
I played a key role in designing and optimizing CI/CD pipelines to support the automated deployment of 5G cloud network functions. This project focused on automating the deployment of cloud resources such as dbs and key vaults, establishing secure connections with on premises servers, and ensuring seamless updates across distributed systems. My contributions streamlined release cycles, reduced deployment errors, and reduced the development time for 3rd party vendors.
Gen AI Vulnerability Remediation
Tech Stack: React, Node.JS, AI Libraries
In this project, I developed an AI-powered tool that streamlines vulnerability detection and accelerate remediation timelines. By integrating OpenAI models, the project automated vulnerability analysis and enabled automatic code patching where possible, minimizing manual intervention. This innovation significantly improved security response efficiency and reduced critical exposure time across systems, and provided a scalable solution for proactive risk management.
MuleSoft Integrations
Tech Stack: MuleSoft, SOAP APIs, REST APIs
I designed and implemented integration layers using MuleSoft to connect legacy systems with modern APIs seamlessly. This project involved bridging communication gaps between legacy SOAP APIs and contemporary platforms, ensuring efficient data flow and interoperability across the tech stack. My contributions streamlined integration workflows, and improved data reliability for internal teams.
Field Connect
Tech Stack: Twilio, Node.js
I lead the development of a prototype communication platform leveraging Twilio to streamline internal workflows. The system enabled dynamic communication between AT&T Fiber backend teams and agents out in the field, enhancing response times and operational efficiency for the physical infrastructure. While this project remained a proof of concept, it demonstrated scalable potential for future communication tools.
Associate Software Engineer
At ListingSpark, I developed critical features aimed at streamlining offer management and automating data-tracking processes. My work included creating Python scripts for efficient data handling and collaborating across development and sales teams to enhance the overall user experience.
Tech Stack: Ruby on Rails, Node.js, Python
Associate Software Engineer
At Gathr, I collaborated closely with cross-functional teams to optimize backend services and improve cloud infrastructure performance. I transitioned core functionalities such as messaging from Python to Go, enhancing efficiency and reducing latency. Additionally, I played a key role in ensuring seamless cross-platform development across iOS and Android builds.
Tech Stack: Go, Python, Firebase, Google Cloud Platform, Flutter
