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Chaitanya Nanepalli

@chaitanyananepalli

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Aspiring machine learning engineer specializing in applied ML, CV, and NLP.

India

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What I'm looking for

I seek an entry-level ML role where I can apply CV and NLP skills, work on real-world datasets, learn domain-specific concepts, and collaborate cross-functionally to build deployable AI solutions.

I am an aspiring Machine Learning Engineer with hands-on experience building and deploying models in TensorFlow, Keras, and OpenCV, and a strong foundation in Python, C++, SQL, and data engineering tools. I have completed AI/ML internships with AWS and Google-for-Developers programs, delivered projects such as LSTM-based stock forecasting, sentiment analysis with RNNs, and YOLOv8 car damage detection, and demonstrated high-impact results like 92% classification accuracy and 90%+ sentiment accuracy.

I am driven to apply practical ML and computer-vision solutions to real-world problems, comfortable working with Pandas, NumPy, visualization libraries, Docker, and databases (MySQL, MongoDB), and eager to collaborate across teams to turn data into actionable insights and deployable systems.

Experience

Work history, roles, and key accomplishments

Machine Learning Intern

AICTE – Amazon Web Services (AWS)

Jan 2025 - Mar 2025 (2 months)

Built scalable ML pipelines for structured data analysis including preprocessing, model training, cross-validation and hyperparameter tuning to support data-driven decisions in simulated industrial scenarios.

Python TensorFlow Pandas scikit learn Cross Validation Hyperparameter Tuning data preprocessing

AI/ML Intern

AICTE – Google for Developers

Apr 2024 - Jun 2024 (2 months)

Designed and deployed TensorFlow models achieving 92% accuracy on real-world classification tasks and executed advanced preprocessing and feature engineering to extract actionable insights.

TensorFlow Python NumPy Flask Matplotlib SeaBorn

Education

Degrees, certifications, and relevant coursework

Gayatri Vidya Parishad College of Engineering

Bachelor of Technology, Computer Science and Engineering

Grade: 9.3/10

Pursuing B.Tech in Computer Science and Engineering with strong coursework and projects in machine learning, deep learning, and data analysis; expected graduation in 2026.