• Guided senior engineering leadership in renewing a $1.5M contract by auditing a third-party SaaS product and providing critical performance testing insights • 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• 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• 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• 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• 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• 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

• Outperformed existing runtime acceleration efforts by 66.7% by implementing an optimized multi-processing Python solution now being used as the primary software behind Pendar’s $80k product• Delivered essential functionality to 150+ customers of Pendar’s flagship product by leading the development of a critical anomaly detection algorithm

• 1 of 10 undergraduates nationwide sponsored by the NSF to conduct machine learning research• Published first and second authorship papers at MIT and IEEE demonstrating a 10% improvement over state-of-the-art Generative Adversarial Networks (GANs) applied to mobile device healthcare• Directed 20+ critical experiments with 69.8% of GitHub contributions to design a novel Controllable GAN architecture with PyTorch capable of producing synthetic sensor data• Presented research at Congress as 1 of 60 research teams selected to represent the state of undergraduate research at the Council of Undergraduate Research's 2022 Posters on the Hill event