Walter IT is founded on principles of excellence and community—values instilled during my time at Gilman School in Roland Park, where I graduated in 2020. Known for its rigorous academics and strong emphasis on character development, Gilman provided me with the foundation to think critically, solve problems creatively, and prioritize integrity in all endeavors. These qualities are at the heart of Walter IT, where personalized service and a commitment to the local community set us apart.
Walter IT is built on a foundation of innovation and community—a vision shaped during my time at Loyola University of New Orleans. Loyola’s strong emphasis on academic excellence, ethical leadership, and service to others inspired me to approach technology with both creativity and responsibility. These principles guide Walter IT’s mission to deliver affordable, personalized tech solutions while supporting the local community.
NOLA Bytes is your go-to guide for discovering the best restaurants in New Orleans. Whether you're a local looking for a new favorite spot or a visitor exploring the city's incredible food scene, NOLA Bytes makes it easy to find and share dining experiences.
Explore the Appalachian Trail through the eyes of Heisenberg, a trail name inspired by Breaking Bad and my own journey as Walter. This blog chronicles my adventure across 1,500 miles of breathtaking wilderness, spanning four unforgettable months. From scenic peaks to quiet forest paths, I share stories, photos, and lessons learned along the way. Dive into an interactive map, built with Leaflet, that traces my steps and showcases key locations along the trail. Whether you're a seasoned hiker, an aspiring adventurer, or just curious about life on the trail, Walter in the Woods offers a unique perspective on one of America’s most iconic journeys.
The Algorithmic Trading Project demonstrates advanced data analysis and machine learning techniques applied to financial markets. Using real-time and historical data from sources like Alpha Vantage and Yahoo Finance, this project showcases the development of predictive models, including linear regression and Random Forests, to analyze stock trends and simulate trading strategies. Featuring intuitive visualizations and robust feature engineering, the project highlights expertise in leveraging technology to solve complex, data-driven problems in a dynamic domain.
During my internship as a Software and Network Engineer with Loyola Communications and Broadcasting in New Orleans, I contributed to enhancing live sports broadcasting systems, including Tulane football broadcasts on ESPN. I developed scripts to integrate and streamline device management, connected the central control API to the broadcasting network, and created a website displaying device connection statuses with troubleshooting tools. Additionally, I reconfigured the organization's network infrastructure and provided comprehensive documentation to ensure long-term operational efficiency for the staff. This experience honed my skills in system integration, network optimization, and user-focused technical solutions—core principles I bring to Walter IT.