Hi, I'm

Talluri Ranga Sai Varun

|
About Me Resume Explore Projects
Scroll Down

About Me

Personal Information

Name: Talluri Ranga Sai Varun
Email: trangasaivarun@gmail.com
Location: Velugodu, Andhra Pradesh, India
Education: B.Tech in Computer Science & Engineering (Artificial Intelligence)
Available for Full-time Opportunities

Professional Summary

Pursuing B.Tech in Computer Science with specialization in AI. Passionate about machine learning, software development, and building intelligent systems that solve real-world problems. I continuously strive to expand my knowledge and stay updated with emerging trends in artificial intelligence. I enjoy building intelligent, data-driven solutions and tackling real-world machine learning challenges that push me to improve both technically and analytically.

Education

Amrita Vishwa Vidyapeetham

2023 – 2027

B.Tech — Computer Science & Engineering (AI)

Pursuing CGPA: 8.65 / 10

Race Junior College

2021 – 2023

Intermediate — MPC

Board of Intermediate 95.3%

Montessori EM High School

2020 – 2021

10th Class — SSC

Board of Secondary Education 98.83%

Skills & Expertise

Python
Python
Java
ML
Deep Learning
NLP
LangChain
LangChain
LangGraph
RAG
NumPy
Pandas
Scikit-learn
Scikit-learn
Flask
SQL
MongoDB
Git
GitHub
VS Code
Jupyter
Google Colab
Colab
Agentic AI

Projects

AskMyDocs

A multimodal AI workspace for querying documents, images, and web-based information

  • Developed a multimodal RAG pipeline for PDFs, DOCX, URLs, and images, utilizing Vision OCR, FAISS, and Cross-Encoder re-ranking to optimize retrieval accuracy.
  • Implemented an agentic self-critique loop that validates draft answers against retrieved context to reduce hallucinations and ensure grounded responses.
Python LangChain FAISS FastAPI Supabase RAG
GitHub Live Demo

UPI Fraud Detection System

Real-time fraud detection for UPI transactions using machine learning

  • Developed a machine learning–based UPI fraud detection system capable of identifying fraudulent transactions in near real time using classification and anomaly detection techniques.
  • Handled end-to-end pipeline including data preprocessing, feature engineering, model training, evaluation, and web deployment via an interactive Streamlit application.
Python Scikit-learn Pandas NumPy Streamlit XGBoost
GitHub Live Demo

Crop and Fertilizer Advisory Platform

ML-powered recommendation system for optimal crop and fertilizer selection

  • Built an integrated ML solution to recommend suitable crops and fertilizers based on soil composition, weather patterns, and environmental data.
  • Designed a user-friendly interface to provide both crop and fertilizer recommendations in a single platform, helping farmers make data-driven agricultural decisions.
Python Scikit-learn Pandas NumPy Streamlit
GitHub Live Demo

Certifications

AWS Certified Cloud Practitioner

Amazon Web Services

2025

Verify

Python Data Associate Certification

DataCamp

2025

Verify

Oracle Cloud Infrastructure 2025 Certified Data Science Professional

Oracle

2025

Verify

Publications

Comparative Analysis of UPI Fraud Detection using Ensemble Learning

2025 International Conference on Computational Robotics, Testing and Engineering Evaluation (ICCRTEE)

DOI: 10.1109/ICCRTEE64519.2025.11052942 [IEEE]

View

Achievements

Reliance Foundation Scholar

2023 – Present

Get In Touch

I'm always open to discussing new projects, creative ideas, or opportunities to be part of your vision.

Email

trangasaivarun@gmail.com

LinkedIn

Connect with me

GitHub

View my work

© 2025 Ranga Sai Varun Talluri. All rights reserved.