BANDARU BADRI NADH SAI

BANDARU BADRI NADH SAI

B.Tech CSE Student | Generative AI & LLM Applications | Data Analytics | Cloud Computing | Web Development

Guntur, Andhra Pradesh, India

231fa04317@gmail.com


About

I am a final-year Computer Science and Engineering student at Vignan University (VFSTR), graduating in 2027, with a strong interest in Generative AI, machine learning, data analytics, cloud computing, and software development. I have explored these technologies through hands-on projects, including CareerPilot AI, an LLM-powered career readiness platform; data preprocessing and machine learning pipelines; Campus Connect, a student problem-reporting platform; and BioCloud-AI, a cloud-based healthcare analytics project. My experience includes working with AI APIs, prompt engineering, data cleaning, exploratory data analysis, model evaluation, web application development, databases, cloud fundamentals, and development tools such as GitHub and Google Colab. I enjoy exploring emerging technologies, building practical solutions, and learning how AI systems can solve real-world problems. I am looking forward to connecting with developers, exchanging ideas, and exploring opportunities to grow in AI, data, and technology.

Skills
Generative AI
Large Language Models (LLMs)
Prompt Engineering
Data Preprocessing
Machine Learning
Data Cleaning
React
Node.js
Cloud Computing
GitHub
Natural Language Processing (NLP)
MLflow
HTML
CSS
AWS Fundamentals
Projects

CareerPilot AI – AI-Powered Career Readiness Platform

Developed an AI-powered career readiness platform featuring resume analysis, job matching, skill-gap analysis, career roadmaps, and text-based and voice mock interviews. Integrated Gemini API through a backend LLM service and used Supabase for authentication, PostgreSQL data storage, and saved analysis history

React
Node.js
Express.js
Gemini API
Supabase
PostgreSQL

Employee Salary Prediction – Data Processing & ML Pipeline

Cleaned and preprocessed salary data by handling missing values, removing duplicates, encoding categorical variables, and scaling numerical features. Compared Linear Regression, Decision Tree, Random Forest, and Gradient Boosting models. Used MLflow to track experiments and evaluation metrics.

Python
Pandas
NumPy
Scikit-learn
MLflow

Campus Connect – AI-Powered Campus Grievance Platform

Developed a campus grievance management platform with Student, Staff, and Admin workflows to submit, assign, and track campus issues. Integrated AI-assisted complaint classification and priority suggestions, role-based access control, notifications, and analytics to improve issue management.

React
TypeScript
Express.js
Supabase
PostgreSQL
Gemini API

Ben.ai – AI Conversational Assistant

Developed an AI-powered conversational assistant with a web interface and backend integration. Integrated the Gemini API to generate responses and explored conversation memory and offline fallback capabilities.

React
JavaScript
Node.js
Express.js
Gemini API
Education

B.Tech in Computer Science and Engineering

Vignan's Foundation for Science, Technology and Research (VFSTR)

Jun 2026 to Aug 2027
Certifications

SkillQuest – Generative AI Literacy

Simplilearn SkillUp

Sept 2026

ndia’s Biggest Cloud Quiz – Certificate of Participation

Cloud Junction

Jul 2026

Adobe University Hackathon – Certificate of Participation

Adobe

Aug 2026

Zero to Confidence Bootcamp

TaskVeda

Jun 2026

TCS iON Career Edge – Young Professional

TCS iON

Jun 2025