Senior Software Engineer | ML Engineer | Georgia Tech
Decisively ambitious. Creative. Passionate. I seek the thrill of working on cutting edge technology with highly skilled individuals all working together to achieve the extraordinary.
Spearheaded the development of a serverless application using AWS CDK, EventBridge, and S3, automating financial transactions and saving over 10,000 man-hours.
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Integrated Stripe's API with See Tickets' platform, automating the retrieval of payment and refund data via C# on AWS Lambda, significantly reducing manual workload.
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Developed a scalable solution to handle a surge in payment disputes and refunds, increasing system throughput from 500 to over 10,000 monthly requests.
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Enhanced React-based pages in collaboration with the UX team, optimizing user experience and front-end performance.
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Maintained and improved a monolithic ASP.NET web application, and designed new features within REST APIs (Typescript, Node.js) to interact with high-traffic SQL Server databases.
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Collaborated with the CTO and Principal Engineer to design stable, scalable solutions for critical business issues.
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Achieved 95%+ unit test coverage across all new features, ensuring reliability and quality in production.
Consulting R&D for high tech applications with both software and mechatronic responsibilities:
Software:
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Co-developed python application with rest of robotics team to control 6 axis robot and integrate with computer vision system designed to save millions of dollars per year in efficiency improvements for industrial warehouse automation
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Performed code reviews and fixed bugs on Visual Basic macro application on Solid works that reduces fabricator time needed to cut parts and increased efficiency for fabricator workflow
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Developed google script app that integrates with Slack API to create parking system for coworkers.
Hardware:
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Designed mechanical enclosures for electronic components that power a machine vision application
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Designed harness for machine vision application for industrial robotics
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Performed trade studies on cameras, lasers, and other machine vision sensors, deriving system requirements, and procuring them from vendors under very tight time constraints.