# Pravallika Kambhampati > Software Engineer @ Arrcus, Inc. | MSCS @ UMN | Prev @ Tesla, Cisco Location: San Jose, California, United States Profile: https://flows.cv/pravallikakambhampati I’m a software engineer with a strong foundation in networking and systems engineering. My work spans network operating systems, protocol internals, and observability tooling, with a focus on building debuggable, reliable systems that scale. Previously I've worked at Tesla and Cisco. ## Work Experience ### Software Engineer @ Arrcus, Inc. Jan 2026 – Present | San Jose, CA ### Network Engineer @ Tesla Jan 2025 – Jan 2025 | Fremont, California, United States - Developed a Grok-based chat agent that provides real-time, historical, and comparative Data Center Hardware SKU pricing and details to support faster decision-making for DC operations and procurement. - Led the deployment of next-gen AI Fabric switches across Tesla’s DC network, automating configuration templates, NetBox provisioning, designing leaf-spine architecture, and implementing gNMI-based telemetry for real-time monitoring and high-throughput scalability. - Designed and deployed Grafana dashboards to monitor GPU cluster utilization, performance trends, and alert metrics, enhancing visibility into compute resource health across Tesla’s DC & AI infrastructure. ### Software Engineer @ Arrcus, Inc. Jan 2025 – Jan 2025 | San Jose, California, United States Contributed to the ArcOS network operating system on the protocols team, focusing on IS-IS debuggability and observability: - Implemented new CLI commands in IS-IS by extending ConfD/YANG models and avl tree data structures to expose TLV-137 mappings, enabling engineers to resolve system IDs into human-readable hostnames. - Built fine-grained IS-IS debug filters with CLI integration, allowing targeted tracing of prefixes, metric updates, and route contributors, significantly reducing log noise during troubleshooting. - Collaborated with senior engineers on protocol internals, working with low-level C code, ConfD/YANG callbacks, and AVL tree data structures, gaining hands-on experience in performance-sensitive debugging in large-scale routing systems. ### Graduate Research Assistant @ University of Minnesota Medical School Jan 2024 – Jan 2025 | Minneapolis, Minnesota, United States - Engineered end-to-end image processing pipelines to segment and longitudinally quantify hydroxyapatite (HAP) deposits in RPE from high-resolution mouse and porcine microscopy datasets, processing >10,000 images over a 13-week time course to reveal deposition kinetics. - Co-authored manuscript under review at Nature Cell Death & Disease, leading data analysis, interpretation, and methods documentation for image-based quantification approaches. - Designed, built, and maintained the Hulleman Lab website (https://hulleman-lab.umn.edu/) using modern web frameworks and responsive design, streamlining access to publications, protocols, and team updates for collaborators. ### Summer Graduate Research Assistant @ University of Minnesota Medical School Jan 2024 – Jan 2024 | Minneapolis, Minnesota, United States Working with Dr. John D. Hulleman, Larson Endowed Chair for Macular Degeneration, Associate Professor, Department of Ophthalmology and Visual Neurosciences ### Network Consulting Engineer, Customer Experience @ Cisco Jan 2022 – Jan 2023 | Bengaluru, Karnataka, India Proactive Network Consultation at Business Critical Services - Leveraged strong networking expertise to exceed Boeing Co and Expedia Group's expectations through Business Critical Services 3.0. Optimized networks and IT systems for maximum performance and reliability. - Played a pivotal role in Cisco patent by introducing a feature for quantifying and comparatively scoring pain points in the context of network issues, both in hardware and software using Generative Adversarial Networks (GANs). - Managed and mentored a team of interns in the development and execution of the Similar TAC Cases Recommendations project, integrating NLP techniques and Cisco APIs to efficiently identify and categorize analogous customer tickets. ### Technical Undergrad Intern @ Cisco Jan 2022 – Jan 2022 - Secured Intern + Full Time role as a Consulting Engineer through Cisco Ideathon 2022. - Pioneered the development and implementation of a robust full-stack dashboard for the Case Escalation Tracker, resulting in a 30% reduction in case resolution time and a 20% increase in overall customer satisfaction. Orchestrated the integration of front-end and back-end components, demonstrating proficiency in technologies such as Django, NodeJs and MongoDB. - Orchestrated the integration of front-end and back-end components, demonstrating proficiency in technologies such as Django, Node.js and MongoDB. - Attained Cisco Certified DevNet Associate and Cisco Certified Network Associate certifications with excellence. ### Campus Hero @ GirlScript Visakhapatnam Jan 2021 – Jan 2021 | Visakhapatnam, Andhra Pradesh, India ### Full Stack Engineer @ upCalibre Jan 2020 – Jan 2020 - Spearheaded the development of multiple web screens on the official upCalibre website using ReactJs and Material UI in MERN stack. ### Data Analytics and Visualization Intern @ Takenmind Organisation Jan 2019 – Jan 2019 ## Education ### Master of Science - MS in Computer Science University of Minnesota ### BTech - Bachelor of Technology in Computer Science and Engineering Gayatri Vidya Parishad College of Engineering (Autonomous) ### Intermediate Sri Chaitanya College of Education ### 10th Grade Narayana Olympiad School ## Contact & Social - LinkedIn: https://linkedin.com/in/pravallika-kambhampati - Portfolio: http://pravallika-kambhampati.github.io --- Source: https://flows.cv/pravallikakambhampati JSON Resume: https://flows.cv/pravallikakambhampati/resume.json Last updated: 2026-04-10