Karthik Maroju

Recent B.Tech graduate in Computer Science (Artificial Intelligence & Machine Learning) with hands-on experience in designing, developing, and deploying AI and Machine Learning solutions through academic projects and internship experience. Strong foundation in Python, Machine Learning, Deep Learning, Computer Vision, and Data Analysis, with practical expertise in data preprocessing, feature engineering, model evaluation, and REST API development. A proactive learner with strong analytical and problem-solving abilities, seeking to contribute to innovative, data-driven solutions while continuously growing in a collaborative and high-performance engineering environment.

Artificial Intelligence Intern at AIMER Society

8 Weeks / 120 hrs

• Completed 120+ hours of structured AI training covering supervised and unsupervised learning, EDA, feature engineering, and model evaluation using Python and Scikit-learn.
• Delivered 3 assignment-based projects with average model accuracy above 88%, strengthening practical ML workflow and data analysis skills.

Artificial Intelligence & Machine Learning Intern at APSCHE

2 Months

• Implemented core ML algorithms including decision trees, SVM, and neural networks; performed EDA and statistical analysis on provided datasets using Python, NumPy, and Pandas.
• Completed all 6 module assessments with distinction, gaining structured knowledge of supervised learning, model evaluation, and real-world AI applications.

Artificial Intelligence Intern at Growfinix Technologies

2 Months

• Built AI model prototypes for data classification tasks using Scikit-learn and TensorFlow; developed automated data preprocessing pipelines with Pandas and applied feature selection techniques.
• Delivered 2 functional prototype models and reduced data preprocessing time by approximately 30% through pipeline automation.

Python Developer Intern at Codec Technologies

1 Month

• Developed and refactored Python backend scripts using OOP principles and REST API concepts; performed debugging and maintained version control using Git and GitHub.
• Delivered 4 backend modules on schedule, improving script execution efficiency by approximately 20% through modular code restructuring.

Secondary Education – Vijnana Bharathi High School (2018 – 2019)

Diploma in Electrical & Electronics Engineering – GBR Govt.

Polytechnic

College (2019 – 2022)

B.Tech – CSE (Artificial Intelligence & Machine Learning), Lateral Entry in Artificial Intelligence & Machine Learning – Avanthi Institute of Engineering & Technology (2023 – 2026)