Venkata Kundana Batchu

AI & ML undergraduate · Full-stack developer · Machine Learning enthusiast

Vijayawada, Andhra Pradesh, India

@kundana1

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🎓 B.Tech in Computer Science and Engineering (AI & ML) at Prasad V. Potluri Siddhartha Institute of Technology · Graduating 2027

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About

AI & ML undergraduate with hands-on experience in machine learning, Generative AI, and full-stack application development. Strong foundation in programming, Data Structures & Algorithms, and Object-Oriented Programming.

Experience

Artificial Intelligence Domain - Capstone Project: PawPredict

Infosys Springboard

Sep 2025 – Nov 2025

Built a dog breed recognition system using EfficientNet trained on the Stanford Dogs Dataset. Developed a React frontend and FastAPI backend for image upload and real-time model prediction, integrated the trained model into an end-to-end application, designed a MongoDB database, and worked across dataset preprocessing, model integration, and prediction evaluation.

Education

2027

B.Tech

Prasad V. Potluri Siddhartha Institute of Technology

Awarded by JNTUK

Computer Science · 2023 – 2027

Computer Science · 2023 – 2027

Skills

3 to 6 months

Deep Learning Machine Learning

<3 months

SQL RAG Oop CSS3 Java LLMs React HTML5 Python Node.js Express.js JavaScript Semantic Search Natural Language Processing Database Management Systems Convolutional Neural Networks Data Structures and Algorithms

Tools / apps / platforms

3 to 6 months

MongoDB

<3 months

Git MySQL GitHub QDrant Postman VS Code Jupyter Notebook

Projects

Wordly – Interactive Word Puzzle Game ↗

HTML, CSS, JavaScript

Developed a browser-based word puzzle game with score tracking, timers, hints, and multiple difficulty levels. Implemented word validation, scrambling logic, and player-progress tracking with dynamic game-state updates and responsive UI components.
PolicyPulse – Civic Intelligence Multi-Agent System ↗

Python, React, Qdrant, Llama 3.3

Prototyped an LLM-powered multi-agent system to examine gaps between policy intent and real-world outcomes. Implemented semantic search over vector embeddings, designed prompt workflows using Llama 3.3, and experimented with retrieval and prompting strategies.
HireMeAI – AI Interview Preparation Platform ↗

React, Node.js, Express.js, MongoDB, Groq API, Tavus AI

Built a full-stack AI platform that parses resumes and job descriptions to assess candidate-job compatibility and support interview preparation. Implemented backend workflows for resume parsing, structured candidate records, job-description analysis, question generation, and evaluation. Integrated Groq APIs and Tavus AI for interactive mock interviews with conversational AI and an AI avatar-based experience.

Courses & certifications

Python Programming · GUVI
AWS Generative AI Virtual Internship · AICTE EduSkills
Google Cloud Computing Foundations · Google
Foundations of R Software · NPTEL
DBMS · NPTEL
Introduction to Machine Learning · NPTEL
Design & Analysis of Algorithms · NPTEL

🏆 Achievements & awards

Ranked 6th out of 57 teams in a college-level DSA coding contest

Achieved 5-star ratings in Problem Solving, Java, and Python on HackerRank.
3rd Prize in AI-powered interview preparation platform hackathon

Secured 3rd Prize out of 35 teams.
1st Place in Frontend Hackathon

Secured 1st Place out of 40 teams in an HTML, CSS, JavaScript hackathon.

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