I'm a data-driven engineering professional with expertise in AWS cloud architecture, Python development, and enterprise integrations. With experience at both innovative fintech startups and Fortune 500 companies, I specialize in building scalable backend systems and automating complex workflows.
class BackendEngineer:
def __init__(self):
self.skills = ["Python", "AWS", "Django"]
self.experience = 7 # years
self.certification = "AWS Solutions Architect"
def build_systems(self):
return "Data-Driven & Automated"Passionate about building robust, scalable systems
I'm a Senior Software Engineer with over 7 years of experience in data-driven innovation and enterprise software development. My career spans from Fortune 500 financial services at Capital One to innovative fintech at Katapult, where I've applied design thinking, rapid prototyping, and customer-focused development principles.
At Capital One, I automated onboarding for 700+ applications and reduced report generation time from 48 hours to 4 hours. At Katapult, I've designed enterprise integrations and built mobile authentication systems. I'm AWS Solutions Architect certified and passionate about creating robust, scalable backend systems.
Building systems that matter
Software Engineer on Enterprise Partner Integrations Team, focusing on data-driven innovation and customer-focused development. Building scalable backend systems and enterprise integrations for the fintech platform.
Software Engineer on Software Delivery & Pipeline Team, focusing on automation, resiliency testing, and cloud deployment. Built robust serverless applications and automated deployment pipelines for enterprise services.
Data Engineer on Market and Analysis Team, focusing on data migration, report optimization, and risk model testing. Specialized in Python development and AWS cloud services.
Technologies I work with
Some of my recent work
Developing algorithmic trading platform that consumes historic stock market data, applies trading strategies, and interfaces with TD Ameritrade API to predict future trends. Results displayed on serverless S3/Lambda based website.
Used R to parse large database of airline data and created interactive data visualizations of most traveled days of the week, most expensive days to travel, and seasonal airline trends for data-driven insights.
Volunteered as a mentor for Capital One Coders program, teaching programming fundamentals and software development best practices to students. Focused on inspiring the next generation of software engineers through hands-on learning.
Developed serverless Python application that automates onboarding of 700+ applications to various enterprise services. Reduced manual work and improved deployment efficiency across Capital One's infrastructure.
Migrated critical reports from SAS scripts to Python application, reducing report generation time from 48 hours to 4 hours (92% improvement). Compressed and modularized code for better readability and maintainability.
Created REST API that enables developers to test the resiliency of their cloud applications by scheduling disruptions. Built with Python/Flask and integrated with enterprise testing infrastructure.
Let's build something amazing together
I'm always interested in discussing new opportunities, interesting projects, or just having a chat about technology.