Sai Joshitha Vankanti

Sai Joshitha Vankanti

CSE Student | Aspiring Software Engineer | Building AI & Web Solutions


About

Sai Joshitha Vankanti is a second-year Computer Science and Engineering student at BVRIT Hyderabad, interested in software development, artificial intelligence, and building technology that solves real-world problems. Her project experience includes a QR-based Attendance Management System, an AI-Based Incident Response Agent, a spreadsheet implementation built from scratch using Rust, Go, and Elixir with the help of LLMs, and Campus Retail, a thrift-store-style platform for the college community. She has also explored an AI-based vehicle emission detection solution to identify potentially high-emission vehicles through visible exhaust patterns. Currently, she is developing a Question Paper Predictor using rubrics and building a college website to simplify access to campus programs and activities. She enjoys turning ideas into practical applications, exploring emerging technologies, and learning by building. She is continuously strengthening her technical foundations while developing her problem-solving, collaboration, and software development skills. Beyond projects, she is keen to participate in hackathons, engage with developer communities, and learn from people who are passionate about technology. She is open to internships, collaborative projects, and opportunities to contribute, learn, and grow alongside experienced developers. Her goal is to become a well-rounded software engineer who combines technical knowledge, creative thinking, and meaningful execution to build useful solutions.

Skills
Java
Python
AI
ML
C
Projects

Smart Attend

A QR-based attendance management system designed to simplify attendance tracking and make the process more efficient.

Lamer Spreadsheet

A spreadsheet implementation project exploring how spreadsheet functionality can be built from scratch, with hands-on development in Go , Rust and Elixir using LLM assistance.

IncidentRecall — AI Incident Response Agent

An AI-powered incident response project designed to help analyze technical incidents and retrieve relevant incident context to support troubleshooting and response workflows.

FastAPI
Groq
Python
and JSON-based incident data
Education

B.Tech

BVRIT Hyderabad College of Engineering for Women · 8.8 CGPA

Aug 2025 to Jun 2029