• Lead staff training sessions and discussion/lab sections, provide online assistance, and grade homework/exams for over 400students 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

• Work in an Agile environment, participating in daily stand-ups, sprint planning, and retrospectives• Collaborate 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• Implement 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• Serve 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• Develop 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