Experienced Full-Stack Application Engineer at Raymond James with 3+ years of expertise in designing and implementing enterprise-level fintech applications. Specialized in .NET Core and Python microservices architecture deployed on Kubernetes, with a proven track record of improving operational efficiency by 20-30% and processing speeds by up to 50%.
I excel in both front-end technologies (Angular, TypeScript) and backend systems (.NET, Python/Flask), with extensive experience in cloud architecture using AWS services. My expertise includes building scalable data lake pipelines with AWS Glue, Terraform, and Airflow, managing large datasets (1TB+), and ensuring 99.9% system reliability.
Passionate about solving complex financial technology challenges, I've successfully delivered critical applications for mortgage-backed securities analytics, municipal bond trading tools, and paying agent systems that have directly improved business outcomes and user adoption rates.
A React-based restaurant discovery web application that integrates with the Yelp API to retrieve comprehensive restaurant listings for specific locations. Features dynamic search functionality, responsive design, and real-time data fetching.
A React-based web application that helps users discover new dining experiences in Orlando. Features a curated list of local restaurants with filtering by cuisine type, Google Maps API integration for location display, and real-time distance calculations from user's location.
A cross-platform mobile application built with Flutter that enables users to search for recipes, find ingredients, and access cooking instructions. Implements Firebase cloud functions for data retrieval and user authentication with secure user management.
A Flask-powered web application that seamlessly integrates Spotify's API with lyrics services to display real-time lyrics for currently playing tracks. Features OAuth authentication, API integration, and responsive web design.
A comprehensive data visualization dashboard for exploring NBA statistics throughout the 2020-2021 season. Features interactive charts, player comparisons, and team analytics with responsive design for optimal viewing across devices.
Finds the stats for a user entered NBA player in a user entered year. Created using Flask for the backend.
View ProjectFoundational understanding of AWS Cloud concepts, services, security, architecture, pricing, and support.
I'm always excited to discuss new opportunities, innovative projects, and how my expertise in fintech and full-stack development can drive your organization's success.