# Prannav Arora > Software Engineer at BetaNXT | NYC | Cloud Engineer experienced in AWS and IaC | Computer Science and Data Science from UW Madison (Class of 2023) Location: United States, United States Profile: https://flows.cv/prannav Hello! I'm Prannav, and I am a Cloud DevOps Engineer with 2+ years of experience building real time data streaming pipelines in AWS, Snowflake, and Confluent Cloud, using tools like Terraform (IaC) and GitLab (CI/CD). I also specialize in designing Disaster Recovery for cloud native systems. Currently I work in the financial services industry where I’m working on building a cloud native, real time, and governed data platform that simplifies data sharing with financial clients which allows easy and secure integration, faster time to market, and a reduction in operational overhead. If I had to summarize myself in one line, I’d say: I am a curious, dedicated problem solver who loves to collaborate, lead, and learn! ## Work Experience ### Software Engineer @ BetaNXT Jan 2024 – Present | New York City Metropolitan Area ### Software Engineer @ Sierra Space Jan 2023 – Jan 2023 | Madison, Wisconsin, United States Investigated the peripherals and capabilities of the MSP430 microcontroller that will be used for motor and valve control for the temperature and humidity regulation of a spacecraft. Validated sensor performance of a motor position sensor by utilizing SPI communication, and reporting the angle position and angular velocity. Worked on automated flight software testing of the Dream Chaser spacecraft using Jenkins pipelines and custom testing frameworks that simulate flight hardware. ### Undergraduate Robotics Researcher @ University of Wisconsin-Madison Jan 2023 – Jan 2023 | Madison, Wisconsin, United States As a robotics researcher, it was my objective to get a working Lidar and SLAM demo using iRobot Education's Create3 Roomba. These demos would set the path to future mobile robot research at the robotics lab. My role required heavy collaboration with the people at iRobot, and I helped to improve the initial setup documentation for connecting the Create3 Roomba with a Raspberry Pi. ### Undergraduate Student Assistant @ University of Wisconsin-Madison Jan 2021 – Jan 2023 | Madison, Wisconsin, United States As an undergraduate student assistant (UGSA), I worked with 3 professors to help run productive and efficient lectures with 100+ students. On a weekly basis, I helped 30+ students with in-class worksheets and activities and made sure students had a clear understanding of Machine Learning, Data Science, and programming concepts. Classes I helped with: ECE 204 (Introduction to Data Science with Python) - Work with large datasets (Pandas, NumPy), data analysis (Clustering, Principal Component Analysis, Classification, Regression), data visualization (Matplotlib), ethics in data science. ECE/CS 532 (Matrix Methods in Machine Learning) - Math topics: Linear equations, Regression, Regularization, Singular Value Decomposition (SVD), etc. Machine Learning (ML) topics: Lasso, Support Vector Machines (SVMs), Kernel Methods, Clustering, Neural Networks, and Deep Learning. ### CS Tutor at the Undergraduate Learning Center (ULC) @ University of Wisconsin-Madison Jan 2020 – Jan 2023 | Madison, Wisconsin, United States Conducted weekly drop-in tutoring sessions for various CS courses. I helped 5-10 students a week with their programming projects, and strived to solidify their understand of programming, Object Oriented Programming (OOP), Algorithms, Data Structures, version control (Git), and more. Classes tutored: CS 200 - Basic Java, edit-compile-run cycle, data types, control structures, basic testing and debugging, and good programming practices. CS 300 - Intermediate Java (Interfaces, Generics, Exceptions, etc.), Object-Oriented Programming (OOP), Data Structures (Arrays, Linked Lists, Stacks, Queues, Heaps, etc.), Algorithms (Sorting and Searching), complexity analysis (Big O), recursion CS 400 - Advanced Java (Polymorphism, Anonymous Classes, Lambda Functions), Advanced Data Structures (Hash tables, self-balancing trees, skip lists), Advanced Algorithms (Dijkstra's algorithm , DFS/BFS), version control (Git, GitHub), creating GUIs (JavaFX) CS 220 - Basic Python, dataset processing, evaluating large datasets CS 320 - Intermediate Python, Data Structures (graphs), A/B testing, data plotting, basic classification, clustering, optimization, and simulation techniques. ### Software Engineer Intern @ KLA Jan 2022 – Jan 2022 | Ann Arbor, Michigan, United States Compared different multi-node, multi-GPU distributed training techniques of Neural Networks. Utilized TensorFlow to create and train models in a distributed manner. Utilized TensorBoard to visualize GPU usage, CPU usage, dataflow, and training bottlenecks. Created python scripts to automate data collection on hundreds of training runs, and then used that data to compare the different distributed training techniques. Presented data to a panel of senior engineers at KLA, and provided insight on whether the company should invest further into distributed training research. ### Machine Learning Assistant @ UW Madison Department of Engineering Physics Jan 2021 – Jan 2022 | Madison, Wisconsin, United States Collaborated with Nuclear Fusion Researchers from across the US to design a convolutional neural network that can detect plasma turbulence. ### CS Tutor @ Center for Academic Excellence Jan 2020 – Jan 2021 | Madison, Wisconsin, United States Collaborate 1-on-1 with two students to help them develop better understanding of CS concepts and become more efficient programmers. ### Cafe Crew Member @ Target Jan 2018 – Jan 2020 | Madison, Wisconsin, United States ### Crew Member @ McDonald's Jan 2016 – Jan 2018 | Eau Claire, Wisconsin, United States ### Sales Floor Associate @ Younkers Jan 2018 – Jan 2018 | Eau Claire, Wisconsin, United States ## Education ### Bachelor's degree in Computer Science University of Wisconsin-Madison ### High School Diploma Memorial High School ## Contact & Social - LinkedIn: https://linkedin.com/in/aprannav --- Source: https://flows.cv/prannav JSON Resume: https://flows.cv/prannav/resume.json Last updated: 2026-04-13