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Charan Sai Reddy

AI & Machine Learning student · Data Annotation & Computer Vision

Hyderabad, Telangana, India

@charan_sai_reddy

0 followers

🎓 B.Tech – Artificial Intelligence & Machine Learning at Vignan Bharathi Institute of Technology, Hyderabad · Graduating 2026

About

Detail-oriented AI & Machine Learning student with hands-on experience in image annotation, dataset preparation, transcription, and computer vision. Worked on an ISRO-related machine learning project and has exposure to AWS cloud fundamentals and AI/ML workflows.

Experience

  • AI Data Annotation
    ISRO-Related Machine Learning Project

    Worked under the guidance of ISRO scientists on image data annotation and machine learning dataset preparation. Performed image labeling, data verification, and quality checks to maintain accurate and consistent datasets. Identified and corrected annotation inconsistencies during the data preparation process.

  • AWS AI-ML Virtual Intern
    Amazon

    Trained on AWS cloud fundamentals and AI/ML workflows. Worked with EC2, S3, IAM, and basic model lifecycle concepts.

  • Zero Trust Cloud Security Virtual Intern
    Zscaler

    Learned Zero Trust architecture and core cloud security principles. Gained exposure to identity-based access control and secure access models.

Education

  • B.Tech
    Vignan Bharathi Institute of Technology
    Artificial Intelligence and Machine Learning · Apr 2026
  • Intermediate
    Sri Chaitanya Junior Kalasala
    Science · Apr 2022
  • SSC
    Lord’s High School
    Apr 2020

Skills

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.
S3 Git MySQL Google Sheets Microsoft Excel Microsoft Power BI Amazon Web Services AWS Amazon Elastic Compute Cloud EC2

Projects

  • CrySense – Infant Cry Recognition System
    CNN,LSTM,Flask

    Developed a CNN–LSTM audio classification model for infant cry intention detection. Processed raw audio using Log-Mel spectrograms and waveform features with augmentation. Deployed a real-time inference API using Flask.

  • Memory-Efficient Computer Vision Pipeline
    Python

    Processed and validated 25,000+ images across 24 classes for computer vision model development. Performed image preprocessing, dataset quality checks, and data verification. Applied data augmentation and evaluated performance using weighted F1, precision, and recall.

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