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Vamshi Chintu Reddy

Vamshi Chintu Reddy

AI/ML Engineer · 2026 Graduate

Hyderabad, Telangana, India

@vamshi_chintu_reddy

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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
    Computer Science and Engineering (Artificial intelligence and machine learning) · 2022 – 2026
  • Intermediate
    SR Junior College
    2019 – 2021
  • SSC
    Zilla Parishad High School
    2016 – 2019

Skills

<3 months <3 months Just getting started - under three months. This is also what shows when a level has not been set.
SQL AWS Oop LLMs NumPy React Flask Python Pandas FastAPI AWS IAM HTML&CSS Matplotlib scikit-learn Deep Learning Advanced DBMS Machine Learning Model Evaluation Computer Networks Operating Systems Feature Engineering API Integration Understanding CNN (Convolutional Neural Network)

Tools / apps / platforms

<3 months <3 months Just getting started - under three months. This is also what shows when a level has not been set.
Git MySQL AWS S3 GitHub MongoDB Google Colab Jupyter Notebook

Languages

Native / Bilingual Native / Bilingual Their first language, or as strong as one.
English Speak · Read · Write
Conversational Conversational Can hold an everyday conversation.
Hindi Speak · Read · Write Telugu 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)

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