Hi, I'm

Talluri Ranga Sai Varun

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About Me

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

B.Tech in Computer Science and Engineering (Artificial Intelligence)

CGPA: 8.6/10.0

Sep 2023 - May 2027

Skills

Programming Languages

2 skills
Python Python
Java

AI & ML

4 skills
Machine Learning
Deep Learning
NLP Fundamentals
RAG

AI Agent Frameworks

4 skills
LangGraph
LangChain LangChain
Agentic AI
Multi-Agent Systems

Databases

2 skills
SQL
MongoDB

Libraries & Frameworks

4 skills
NumPy
Pandas
Scikit-learn Scikit-learn
Flask

Developer Tools

5 skills
Git
GitHub
VS Code
Jupyter Notebook
Google Colab Google Colab

Soft Skills

3 skills
Leadership
Team Collaboration
Communication

Relevant Coursework

5 subjects
DSA
OOP
DBMS
Operating Systems
Software Engineering

Internships

Infosys Springboard

AI Intern

AUG 2025 – OCT 2025

Remote

  • Worked on the project Predictive Transaction Intelligence for BFSI, applying LLMs and NLP to analyze financial transactions, extract insights, and support decision-making.
  • Developed AI models for fraud detection, risk prediction, and customer behavior analysis, gaining hands-on experience in building AI-driven financial intelligence solutions under expert mentorship.

Areas of Interest

Artificial Intelligence Machine Learning Natural Language Processing Deep Learning Software Development

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

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

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

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]

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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.