Hello, I am Vaishnavi, pursuing B.S in CS at ASU.

Vaishnavi Bhairishetty  • Peerlist

• Architected a Recursive Descent Parser and Lexical Analyzer to tokenize and validate source code against a custom Context-Free Grammar (CFG). • Designed an Intermediate Representation (IR) system using linked instruction nodes to execute complex control flow logic (loops, switch cases, conditionals) via a custom interpreter. • Implemented grammar transformation algorithms to calculate FIRST/FOLLOW sets and automate Left Recursion Elimination, optimizing grammars for efficient LL(1) parsing. • Engineered a semantic analysis engine to manage symbol tables and evaluate polynomial expressions, ensuring type safety and memory consistency.

Compiler Construction & Language Design

• Developed Linux Kernel Modules (LKM) to interface directly with the OS core, utilizing circular doubly linked lists to manage and iterate through process control blocks (PCB). • Engineered multi-threaded applications using POSIX threads (pthreads) and mutex locks, successfully resolving race conditions and ensuring thread safety in concurrent environments. • Implemented process synchronization mechanisms (Semaphores and Condition Variables) to solve the Producer-Consumer problem, optimizing CPU scheduling and resource allocation. • Designed custom kernel-level data structures to manipulate system memory, debugging complex segmentation faults using GDB and kernel logs.

Linux Kernel Module Development

• Built backend system for an AI-powered education platform that gives students instant AI feedback, helps instructors identify common misconceptions, and creates personalized learning paths for each student. • Designed the complete system from database to deployment, including database schema, REST APIs with authentication, AI feedback service that analyzes student answers, and analytics to track class performance. • Created production-ready code with comprehensive testing, detailed documentation, and automated setup, making it easy for the team to onboard and integrate with the frontend while keeping student data secure.

AI Suite For Students - Dune Dragon LLC

• Created an AI platform that collects startup job openings from across the U.S. and remote locations, making it easier for students to find and apply for relevant positions. • Built backend APIs using FastAPI that match student skills to job requirements, then filter results by location, job type, and remote eligibility to show the most relevant opportunities. • Designed the database and system to automatically gather and organize job listings, helping students save time searching and find roles that match their skills better.

StartupScope AI: Intelligent Job Discovery Pl

• Designed and developed a mobile app with advanced UI/UX using Java, XML, Firebase for wallet management. 
• The app facilitates secure transactions, allowing users to pay electricity, Wi-Fi bills, make online bookings, and integrate UPI transactions for seamless payment processing.
• Implemented API integrations to connect with various payment gateways, ensuring smooth and secure transactions.
• Conducted unit and functional testing to improve app performance and fix bugs, following Agile development practices.

Wallet

• Conducted a statistical analysis of global government data accessibility using R. • Applied Welch’s Two-Sample t-test to validate significant structural differences between U.S. and international data portals (p < 0.01). • Used the dplyr library to fix errors and organize the messy raw data so it was ready for analysis. • Created clear charts using ggplot2 to visually show the differences in data access between regions.

Global Open Data Analysis

• Worked as a Backend developer, contributing to a comprehensive educational support system designed for admins, instructors, and students at ASU. • Created an Android mobile application using Java, XML and Android Studio. • Utilized Java and JavaFX for coding, following MVC patterns to organize the code effectively. • Stored data in SQL databases, ensuring information was managed efficiently and securely with encryption for sensitive data. • For testing, I used JUnit to check all functionalities, focusing on high code coverage to ensure our application worked well under different scenarios. Used GIT for collaboration.

Compass 360 – Discussion Management System

• Architected a Parallel Coordinates visualization to correlate multi-dimensional datasets (EV sales, stock, emissions), enabling users to identify complex trends across global markets. • Engineered brushing and linking interaction logic in pure JavaScript, creating a responsive system where user filters propagate instantly across multiple charts (Scatterplots, Line Charts). • Modularized the rendering pipeline into reusable functions, optimizing code maintainability and ensuring synchronized state management across the dashboard.

Interactive EV Data Visualization

• Developed a C++ program to manage graph structures, utilizing classes for edges, vertices, and graphs to handle complex operations like Dijkstra's algorithm for shortest paths and managing adjacency matrices. • Designed a command-line-based Rock-Paper-Scissors game that stored player results and ranks them.

Data Structure and Algorithms

• Used various Linux commands like ls, chmod, nc, cd, cat, mkdir, touch, rm, grep, whoami, cp to manage files and control the system. • Applied advanced techniques such as file redirections and secure permissions with chmod and the s-bit. • Gained root access and created custom rm and cat commands to protect flags. • Created files and commands to do reverse binary.

Cybersecurity CTF’s

• Designed and developed an SOS alert application using Java, XML. 
• The app sends alert to emergency contacts and users within 100 miles. 
• Added a feature to share the user’s live location with emergency contacts.