# Jasper Z. > Master Student at New York University Location: New York, New York, United States Profile: https://flows.cv/jasperz Hello, I'm Jasper Zeng, and I'm deeply passionate about technology and its problem-solving potential. I'm currently pursuing a Master of Science in Computer Science at NYU CIMS, where I've consistently excelled in my studies. My coursework and work experience has equipped me with a versatile skill set, including proficiency in programming languages like Java, JavaScript, Python, and C/C++, as well as hands-on experience with frameworks like PyTorch and React. I'm dedicated to continuous learning in the ever-changing tech world and love staying updated on the latest trends. I believe my technical expertise and problem-solving abilities make me a valuable asset to any team or project. ## Work Experience ### Graduate Student Mentor @ New York University Jan 2025 – Present | United States ### Teaching Assistant @ New York University Jan 2025 – Present | United States ### Team Lead @ NYU IT High Speed Research Network Jan 2025 – Present - Lead the Realtime Application Team ### Software Engineer @ NYU IT High Speed Research Network Jan 2024 – Present | New York City Metropolitan Area - Collaborated with NYU’s Fenton Lab to design and implement a robust infrastructure leveraging the NYU High-Speed Research Network (HSRN) with the CoreLink protocol, successfully achieving a target data transfer speed of 100 GBps. - Designed and developed a LSTM Machine Learning pipeline utilizing C++ and Tensorflow(Python), along with a real-time analysis system based on CalmAn and FLOLA, to process neuroactivity data from mouse brains, delivering live prediction results to the Fenton Lab via HSRN. - Deployed the pipeline and associated models across a distributed Kubernetes cluster spanning seven NYU buildings, utilizing 14 NVIDIA GPUs to significantly optimize computational efficiency and performance. ### Software Engineer Intern @ Amazon Web Services (AWS) Jan 2025 – Jan 2025 | Seattle, Washington, United States - Worked on the Amazon Aurora Relational Database team, developing an AI agent and a Model Context Protocol (MCP) server for automatic ticket resolution. - Developed the MCP server in TypeScript to interact with multiple internal operational APIs, databases, and other servers. Implemented various authorization methods, including the publicly known SigV4, and built comprehensive reliability engineering and region information resolution systems. - Implemented the AI agent using StrandsAgent, enabling interaction with multiple AWS infrastructure components, including Bedrock, internal git repositories, various logs, databases, operation tools, apis - Built a knowledge base on top of OpenSearch Service, S3, and Bedrock. - Managed the entire system with a well-written, fully automated pipeline using AWS CDK and Pipelines ### Software Engineer @ Bimini AI Jan 2024 – Jan 2025 - Developed a web application for eye doctor practice search, appointment scheduling, and patient EMR management. - Designed and deployed the application on Firebase, utilizing Firestore for database management and integrating multiple OAuth providers for secure user authentication. - Built a responsive frontend using React and TailwindCSS with a custom-designed UI, ensuring an intuitive user experience; implemented GitHub CI/CD for seamless deployment. ### Research Assistant @ File systems and Storage Lab, Stony Brook University Jan 2023 – Jan 2024 | Stony Brook, New York, United States - Built reinforcement learning–based models to predict GPU application performance and detect anomalies in a Docker- and Kubernetes-based GPU cluster environment. - Integrated IBM’s Autopilot (Kubernetes-native daemon) with Prometheus (and Grafana dashboards) to continuously evaluate GPU/network/storage health via signals like utilization/memory, error events, and latency/throughput/I/O for GPU-cluster optimization, and used the collected metrics as features for model training. - The project is supported by the SUNY Research Foundation and conducted in collaboration with IBM. ### Division of Information Technology Student Technician @ Stony Brook University Jan 2022 – Jan 2024 | Stony Brook, New York, United States - Managed and maintained 5+ computer labs with 300+ computers, consistently configuring, reimagining, and fixing over 18 computers per week while working over 15 hours per week. - Provided assistance to a diverse user base, including students, professors, alumni, and faculty, in effectively utilizing the university's public computer labs and study spaces. - Skilled in troubleshooting diverse basic hardware and software issues, optimizing computer performance, resolving software installations, configurations, and printer-related challenges. ### Teaching Assistant @ Stony Brook University Jan 2023 – Jan 2023 | Stony Brook, New York, United States - Supported a 100+ student Data Structures course by preparing materials, leading twice-weekly 80-minute recitations, grading with feedback, and holding 6 hours/week of office hours. ### Machine Learning Engineer @ Unify Jan 2023 – Jan 2023 | Greater London, England, United Kingdom - Developed PyTorch and TensorFlow transpiler ### Campaign Staff @ North Shore Strategies Jan 2022 – Jan 2022 | Brooklyn, New York, United States - Data-driven community canvassing strategist who used statistical insights to boost support by 5 points while managing materials, Q&A stations, and door-to-door outreach to maximize engagement. ## Education ### Master of Science - MS in Computer Science NYU Courant Institute School of Mathematics, Computing, and Data Science ### Bachelor of Science - BS in Computer Science / Applied Mathematics & Statistics (2nd Major) Stony Brook University ## Contact & Social - LinkedIn: https://linkedin.com/in/jasper-zeng-ny - GitHub: https://github.com/Apricot0 --- Source: https://flows.cv/jasperz JSON Resume: https://flows.cv/jasperz/resume.json Last updated: 2026-03-30