I am a Full-Stack software engineer with experience solving problems and implementing solutions in a breadth of different areas including FinTech, Web3, SaaS Marketplaces, Machine Learning and Robotics
Contact Detail Search Service: Led the complete refactor of a highly utilized contact detail fetching microservice that improved accuracy of contact detail data for 100,000+ advisors and reduced costs by 20%+
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Duplicate Job Detection System: Devised and implemented a scalable system to mark and track 100,000+ jobs, remove duplicate jobs and identify any potential career history discrepancies for company advisors
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Built features to capture structured data on advisors and leveraged this data to improve the internal advisor search engine, leading to a 15% increase in search engine use and 10% reduction of repeat search queries
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Worked in the SQL guild to find slow queries and optimize them to greatly reduce page load times by up to 40% and prevent timeouts across 5 heavily trafficked pages
Built pipeline in C++ to automatically collect pose-labeled images from mobile robots, compress them, and upload them to AWS S3.
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Implemented custom hierarchical clustering in Python to efficiently group thousands of images based on their labeled poses to train localization estimation classifiers with GoogLeNet.
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Pipelines allow robots which frequently mislocalize to automatically relocalize rather than wait for a warehouse worker to manually update their location
