Ithaca, New York, United States
Computer Science major at Cornell University in the College of Arts & Sciences.
Query Integration
• Lead staff training sessions and discussion/lab sections, provide online assistance, and grade homework/exams for over 400 students in Introduction to Computing: A Design and Development Perspective/Object-Oriented Programming and Data Structures • Provide expertise based on demonstrated interest in teaching computer science and exemplary grade performance in the courses
• Attend 8 new member seminars and networking events on elements of finance, consulting, and professional development • Analyze Israeli startup market/trends to present investment opportunities and recommendations in tech startups and venture capital
• Worked in an Agile environment, participating in daily stand-ups, sprint planning, and retrospectives • Collaborated with cross-functional teams including product managers, designers, and other engineers to ensure iterative and incremental delivery of high-quality features, addressing any blockers and continuously improving the development process • Implemented cryptographic procedures for the verification of real-time ISO 20022 payment messages within the FedNow service, utilizing public/private key validation and the generation of unique fingerprints and signatures, ensuring security and integrity • Served on the Developer Relations team, collaborating with developers to deliver software solutions and comprehensive documentation internally and externally that would facilitate the integration of FedNow by financial institutions nationwide • Developed React-based and AWS-deployed web application and Java API to provide customer support for public/private key management and improve participant experience in using the FedNow service, enhancing usability and efficiency
• Developed an Auto-Tagger tool in JavaScript, achieving 100% accuracy in classifying patients based on metabolic risk • Designed image processing algorithm in Python to extract and separate RGB values from depth values of dental images • Aided front-end team in building a mobile application in React Native for metabolic risk monitoring in assisted living homes • Debugged and tested SQLite database of the application, improving the reliability and efficiency of the back-end • Analyzed and simplified medical data/machine learning results in JupyterLab for metabolic risk of 25,028 patients • Collaborated with data science team to collect and evaluate over 100 different visualizations of statistical data • Constructed a detailed research and development report to comprehensively present machine learning results to 3 executives