Hi, I'm Pravallika 👋
24. Student. University of Minnesota. Love CS.
PK

About

I am a second year MS student in Computer Science at the University of Minnesota, Twin Cities (UMN). I am currently working as a Graduate Research Assistant in the Hulleman Lab at the University of Minnesota, Medical School. My research focuses on analyzing retinal pigment epithelium (RPE) cell images from porcine and mice eyes. I am currently examining and quantifying deposits in these images, contributing to our understanding of retinal diseases, particularly age-related macular degeneration (AMD). I have also taken on the development and maintenance of the lab’s site.

Work Experience

U

University of Minnesota Medical School

June 2024 - Present
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
Contact

Get in Touch

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