I am a developer with a proven track record for developing software solutions that emphasize quality and are highly performant and maintainable. I have consistently focused on delivering high-impact value.
Guided senior engineering leadership in renewing a $1.5M contract by auditing a third-party SaaS product and providing critical performance testing insights
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1 of 4 developers responsible for building and maintaining a core microservice with 1.56M requests per day from 100+ enterprise customers using Java Spring Boot, AWS, PostgreSQL, Docker, ArgoCD, and Datadog
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Resolved a critical AWS data loss security vulnerability affecting 6+ internal MasterControl teams and merged to production within the first week with 30+ user stories and defects completed to date
Spearheaded the design and implementation of a RESTful API with 15+ endpoints using Nest.js, TypeORM, PostgreSQL, and AWS that will serve as the backend of Code4Community’s internal recruitment portal
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Created, assigned, and reviewed 30+ tickets and onboarded new developers with a customized introduction to Nest.js and development best practices workshop
Enabled 100+ children with life-threatening illnesses to connect with 200+ integrative therapists across 6+ states in New England by building a search directory with React.js, TypeScript, MUI, Express.js, and AWS
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Collaborated over 10+ months with Lucy’s Love Bus, a nonprofit organization dedicated to connecting therapists to children with cancer, to continuously gather requirements and incorporate feedback
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Coordinated with leadership at 5+ student organizations to plan and direct 20+ technical workshops, panels, company talks, fundraisers, and social mixers for 100+ students
Achieved a 10.7% improvement over in-house machine learning models by researching and adapting academic deep learning architectures to a production environment
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Saved $20k+ in R&D expenses by training distributed large vision models on high-performance GPU clusters using Python, Datadog, and AWS pipelines on 600+ GB of data to accurately label internal datasets