# Harrison Kim > Software Engineer @ MasterControl Location: Boston, Massachusetts, United States Profile: https://flows.cv/harrisonkim 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. At Pendar Technologies, I was solely responsible for developing a novel algorithm that is used as a core component in their flagship $80,000 product. At Genentech, I researched and adapted academic deep learning architectures to a production environment, leading efforts to reduce thousands in R&D expenses. Finally, at MasterControl, I am designing and testing critical backend services to help senior leadership decide on whether to pursue a $1.5m contract. ## Work Experience ### Software Engineer I @ MasterControl Jan 2025 – Present | Utah, United States ### Software Engineering Co-op @ MasterControl Jan 2024 – Jan 2024 | Utah, United States • 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 ### Technical Lead @ Code4Community Jan 2023 – Jan 2024 | Boston, Massachusetts, United States • 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 ### Full-Stack Developer & Co-Director of Events @ Code4Community Jan 2022 – Jan 2023 | Boston, Massachusetts, United States • 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 ### Machine Learning (Computer Vision) Co-op @ Genentech Jan 2023 – Jan 2023 | South San Francisco, California, United States • 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 ### Software Engineer Co-op @ Pendar Technologies Jan 2022 – Jan 2022 | Cambridge, Massachusetts, United States • 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 ### NSF Research Experiences For Undergraduates (REU) Intern @ National Science Foundation (NSF) Jan 2021 – Jan 2021 | Worcester, Massachusetts, United States • 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 ## Education ### Bachelor of Science - BS in Computer Science Northeastern University ### High School Diploma Regis High School ## Contact & Social - LinkedIn: https://linkedin.com/in/kimharr --- Source: https://flows.cv/harrisonkim JSON Resume: https://flows.cv/harrisonkim/resume.json Last updated: 2026-03-28