Hi, I'm Pravallika đź‘‹
25. Software Engineer. Love CS, Books & Food.
PK

About

I’m a software engineer with a strong foundation in networking and distributed systems. My work spans network operating systems, protocol internals, and observability tooling, with a focus on building debuggable, reliable systems that scale. I’ve worked on production networking software at Arrcus, infrastructure and network automation at Tesla, and large-scale enterprise networks at Cisco. I enjoy working close to systems—where software meets networks—and I’m especially interested in routing protocols, infrastructure tooling, and making complex systems easier to understand and operate.

Work Experience

A

Arrcus

Jan 2026 - Present
Software Engineer
T

Tesla

Sept 2025 - Dec 2025
Network Engineer Intern
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.
A

Arrcus

June 2025 - Sept 2025
Software Engineer Intern
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.
U

University of Minnesota Medical School

June 2024 - June 2025
Graduate Research Assistant
Designed and optimized Java programs to analyze longitudinal data, quantifying hydroxyapatite (HAP) deposits in retinal pigment epithelium (RPE) cell images from mouse and porcine models, contributing to advancements in treatments for retinal diseases like AMD. Automated image analysis workflows by developing robust batch processing scripts, boosting efficiency, and ensuring data processing consistency and reliability. Developed and maintained the Hulleman Lab website, overseeing front-end and back-end functionalities.
C

Cisco

Aug 2022 - Aug 2023
Network Consulting Engineer
Proactively managed and optimized the enterprise networks of Boeing Co and Expedia Group, encompassing Cisco routers, switches, firewalls, access points, and software. Regularly assessed security vulnerabilities and developed automation scripts to enhance these processes, ensuring top-tier network performance, reliability, and security. Managed and mentored a team of interns to efficiently identify and categorize customer tickets, resulting in a 35% decrease in support tickets escalations and improved overall ticket triaging process, using natural language processing and internal Cisco APIs.
C

Cisco

Feb 2022 - July 2022
Technical Undergrad Intern
Pioneered the development 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, using Django, and PostgreSQL. Attained Cisco Certified DevNet Associate and Cisco Certified Network Associate certifications.
u

upCalibre

January 2019 - April 2019
Full Stack Developer Intern
Spearheaded the development of multiple web screens on the official upCalibre company’s website using ReactJs and Material UI (PERN).

Skills

Python
C
Java
C++
JavaScript
TypeScript
R
HTML
CSS
MySQL
PostgreSQL
MongoDB
GraphQL
TensorFlow
Keras
Scikit-learn
OpenCV
Flask
ReactJS
Django
ImageJ/Fiji
Drupal
Git
Bash Scripting
CUDA
Metal
Latex
My Projects

Check out my latest work

I've worked on a variety of projects, from simple websites to training complex neural networks. Here are a few of them. You can find all of my projects on my Github.

CoEdit

A collaborative text editor application built with React, ReactQuill, Socket.IO, and Express. This application allows multiple users to edit documents in real-time.

React.js
Javascript
Socket.IO
Quill-Editor
WYSIWYG

Automated System To Limit Covid-19 Using Facial Mask Detection

Built and trained a real-time video-based deep learning model utilizing MobileNetV2 architecture to detect mask-wearing and identify individuals using a face-recognition model with approx. 95% accuracy.

Convolutional Neural Networks
TensorFlow
PostgreSQL
Twilio API

Resume Building Tool

Developed an engaging ReactJs interface for effortless and visually appealing resume creation. Established a NodeJs backend for reliable data processing and swift resume generation which can be accessed in multiple formats.

ReactJS
NodeJS
Material UI

Micro Blog

A flask app with postgresql that lets you make an account and make a blog post once a day.

Flask
NodeJS
SQLAlchemy
requests
Hackathons

I like building things

During my time in university, I attended 3+ hackathons. It is always fun to break free from routine and go all in on an idea—pushing boundaries, solving challenges, and building something exciting in just 1-2 days

  • A

    AI x Journalism: Hacks/Hackers

    Hubbard School of Journalism and Mass Communication, Murphy Hall, UMN-TC

    Developed a Retrieval-Augmented Generation (RAG)-based search engine/chatbot for a local Minnesotan politician that combines a FAISS-powered knowledge base with Falcon3-1B-base LLM to generate responses to user queries, including citations to sources.
  • E

    Elastic Search Hackathon 2019

    Gayatri Vidya Parishad College of Engineering, Visakhapatnam, India

    Developed search UI application built using Elastic App Search. It integrates with Elastic Search UI, a library for building customizable search experiences on top of Elasticsearch App Search service.
  • U

    Unity Hackathon 2018

    Gayatri Vidya Parishad College of Engineering, Visakhapatnam, India

    Developed an endless runner game using Unity and C# during a Unity-sponsored hackathon. Our team designed dynamic level generation, obstacle variations, and an engaging power-up system to enhance gameplay experience.
Contact

Get in Touch

The fastest way to reach me is via kambh021@umn.edu.