Vamshi Chintu Reddy

About

AI/ML Engineer with practical experience building and evaluating machine learning models using Python, Scikit-learn, and Graph Neural Networks. Experienced in feature engineering, data preprocessing, model evaluation, and deploying ML inference pipelines with FastAPI and AWS.

Experience

• Web Developer & Website Administrator
  Moores Ice Cream
  Nov 2025 – Present

Education

• B.Tech in CSE (AI & ML)
  Malla Reddy University
  AI & ML · 2022 – 2026
• Intermediate
  SR Junior College
  2019 – 2021
• SSC
  Zilla Parishad High School
  2016 – 2019

Skills

• SQL <3 months
• Computer Networks <3 months
• Deep Learning <3 months
• FastAPI <3 months
• Python <3 months
• Machine Learning <3 months
• Feature Engineering <3 months
• Matplotlib <3 months
• Model Evaluation <3 months
• NumPy <3 months
• Pandas <3 months
• scikit-learn <3 months
• React <3 months
• Flask <3 months
• AWS <3 months
• Operating Systems <3 months
• CNN (Convolutional Neural Network) <3 months
• HTML&CSS <3 months
• API Integration Understanding <3 months
• LLMs <3 months
• AWS IAM <3 months
• Oop <3 months
• Advanced DBMS <3 months

Tools / apps / platforms

• AWS S3 <3 months
• Git <3 months
• GitHub <3 months
• Google Colab <3 months
• Jupyter Notebook <3 months
• MongoDB <3 months
• MySQL <3 months

Languages

• English Native / Bilingual Speak · Read · Write
• Telugu Conversational Speak · Read · Write
• Hindi Conversational Speak · Read · Write

Projects

• LGB: Language Model & GNN-Driven Social Bot Detection
  Python, GNN, Random Forest, FastAPI, React

  Final year major project using an end-to-end AI/ML pipeline combining Graph Neural Networks and Random Forest for social bot detection. Engineered LLM-generated text features, performed behavioral feature engineering, and deployed real-time inference via FastAPI on AWS EC2 with React dashboard.

• Heart Disease Prediction
  Python, Scikit-learn, Pandas, NumPy, Matplotlib

  Built a heart disease risk prediction model by cleaning patient records, handling missing values and outliers, applying feature scaling, and evaluating with classification metrics and cross-validation.

Courses & certifications

• AWS Cloud Practitioner · Amazon Web Services
• Introduction to Python Programming · University of Pennsylvania (Coursera)
• Python Data Representations · Rice University (Coursera)
• Programming Fundamentals · Duke University (Coursera)