Coming from an economics background, I spent four years as an Associate Economist at the Federal Reserve Bank of Chicago in the Financial Markets Research Group. I assisted in ML research, primarily using Python, and co-authored two papers. This led me to Northwestern for a PhD in Economics. During this period, while attending classes in static/dynamic optimization – integral components of ML – I became more interested in computer science. So, I transferred to the MS CS program after a year and said goodbye to Econ ✌️.Over the years, my passion for software has broadened, transitioning me from a specialist in economics/ML into a more versatile role. I'm a Full Stack Developer, with a foundational knowledge of ML. Having worked on low level C++/C code for space craft at Blue Origin, and leading the full stack integration of AWS Java/React micro services at JP Morgan Chase. Among my proudest achievements are earning a starting position and a scholarship on the Syracuse football team as a walk-on, and winning the NSF Graduate Research Fellowship. This fellowship funded my graduate studies and included a $34k annual stipend. I like a challenge and I consider my diverse background an asset in collaboration, design, problem-solving, and protection. My interests generally lie in systems:ECONOMIC: I employ data-driven approaches to analyze economic systems.COMPUTATIONAL: I have a interest in software systems and software architecture design.DECISION: I'm fascinated by sequential decisions impacting the evolution of dynamic systems.(aka AI)Hobbies include acting, comedy, and spirituality {quigong, yoga, meditation, reiki}________________________________________Languages: Java, Python, JavaScript, C++, LispTechnologies: AWS {Elasticsearch, Elastic Beanstalk, Lambda, SQS, S3, DynamoDB}, SQL, Docker, Kubernetes, Apache Kafka, TCP/IP, Node.js, webpack, Jenkins, Jira, React, React Native, Expo, Google Cloud, GraphQL, gdb