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.
As a Solutions Architect at Respondit AI, I built AI chatbots for public housing authorities and private property organizations, helping residents, applicants, and staff access information more easily.
My role sits between client needs, product strategy, and engineering execution. I work to understand each organization’s workflows, documents, policies, and resident support needs, then translate that complexity into practical AI systems that can answer questions, guide users, and reduce manual support burden.
I have worked on RAG systems, website crawlers, document ingestion pipelines, knowledge portals, role-based access control, automation workflows, and customer-facing AI tools. These systems help turn scattered documents and operational knowledge into structured, searchable, and usable support experiences.
At Respondit AI, my work is focused on making AI useful in real service environments: clear answers, calmer workflows, and better access to information for the people who need it.
AT&TSenior Software EngineerJan 2021 - April 2024
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.
ListingSparkAssociate Software EngineerJuly 2019 - Aug 2019
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
GathrAssociate Software EngineerMay 2020 - March 2022
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
