Experience
2024 — Now
2024 — Now
New York, New York, United States
2023 — 2024
2023 — 2024
New York, New York, United States
• Architected and built the foundational tech stack of an AI email marketing automation platform for D2C e-commerce brands, using React and AWS that went from no users to now over 30 mid-sized brands.
• Led the development of our revamped end-to-end email generation service, automating email creation with a mix of user input and external integrations (Shopify, Klaviyo), utilizing AI(GPT4) for content generation, fine-tuned based on brand-specific data.
• Led constant problem-solving discussions where solutions had to be implemented and released to production quickly.
2021 — 2023
2021 — 2023
New York, New York, United States
• Contributed to Intuit’s API Gateway platform, managing high-volume traffic with stringent uptime requirements.
• Helped lead a migration of the entire Intuit API Gateway Service from EC2 to Kubernetes, increasing performance and decreasing cost by 40%.
• Created a POC to move TLS termination and other functionality to Lambda@Edge that dramatically increased performance and decreased load on Java application.
2020 — 2021
2020 — 2021
Seattle, Washington, United States
• Member of the Ad Distribution team in Amazon Advertising tasked with handling 6TB of data per day requiring extremely low latency.
• Worked in an agile environment run on Spring using Java, Apache Kafka and AWS services such as DynamoDB, Lambda and Kinesis streams.
2019 — 2019
2019 — 2019
Greater New York City Area
• Used python, scikit-learn, and Flask to create a multi-layered machine learning pipeline to predict fund share class pricing schemes.
• Interacted, cleaned, and analyzed large data from vendors such as Morningstar and Fitz.
• Participated in a circular communication channel between users and developers to ensure business functionality was met.
• Enhanced the existing functionality of internal tools built on Spring with an Angular front end.
Education
University of Maryland