Education

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Michigan State University
Jan 2023 - August 2024
MS, Computer Science - GPA: 3.85
  • Coursework: Natural Language Processing, Computer Vision, Pattern Recognition, Deep Learning, Algorithmic Graph Theory, Distributed Systems

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Michigan State University
Sep 2019 - Dec 2022
BS, Computer Science - GPA: 3.69
  • Coursework: Data Structures & Algorithms, Operating Systems, Computer Networks, Algorithm Engineering, Web Application Development, Database Systems

Experiences

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Stefanini Group
April 2025 - Present
Application Development Intern
  • Created a globally deployed Python tool to automate SAP BPD and Technical Specification documents, cutting creation time by 70%

  • Automated document pipeline with FastAPI, RabbitMQ, OpenAI API, and Azure Blob Storage, handling hundreds of requests monthly

  • Integrated an AI chatbot by designing dialog flows and routing requests via REST APIs to trigger SAP document generation pipelines

  • Deployed containerized services in Kubernetes with Helm and ArgoCD, ensuring consistency and cutting deployment effort by 40%

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Versive
Jun 2024 - Dec 2024
Machine Learning Engineer
  • Built CNN models in PyTorch to detect tumors in MRI scans, enhancing diagnostic accuracy by 10% and supporting early detection

  • Boosted model performance by 10% through YOLOv8 segmentation to focus on critical tumor regions during prediction

  • Applied transfer learning with pretrained ImageNet weights to reduce training time 30% and improve precision across scans

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Michigan State Univerity
Aug 2023 - May 2024
Graduate Teaching Assistant
  • Guided students in building responsive front-end projects using HTML, CSS, and JavaScript

  • Improved student project outcomes by 7% through office hours and support with Flask back-end design and GitLab version control

  • Reviewed and graded technical assignments for the Web Application Development course, ensuring rigorous academic standards

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Versive
Jan 2023 - Jul 2023
Software Development Engineer
  • Developed a secure hospital app with AWS Amplify and RDS, improving MRI access times and reducing verification time by 20%

  • Built Flask APIs and connected MySQL backend with React frontend for seamless user experience

  • Ensured patient data security with encryption, RBAC, and MFA, achieving 100% compliance with HIPAA standards

  • Leveraged Docker containers and Git for deployment and version control, improving development cycle efficiency by 15%

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Michigan State University Federal Credit Union
Aug 2022 - Dec 2022
Software Engineering Intern
  • Designed a peer-to-peer transfer system in Flutter/Dart with QR code and NFC support, increasing user transaction speed by 25%

  • Integrated Google Places API to send personalized deal notifications based on shopping patterns, boosting app engagement by 18%

  • Contributed to app improvements using Flutter, Dart, and SQL, enhancing overall app stability and reducing crash rates by 12%