Rajesh Karra r-karra

Rajesh Karra — AI/ML Intern | Quantum Computing

Hi, I'm Rajesh, an AI/ML Intern with a strong interest in the intersection of machine learning and quantum computing.

Machine Learning Intern at Gradtwin Software Company (Mar 2025 – Jun 2025), working on end-to-end ML pipelines
Strong Python + ML stack: Pandas, NumPy, Scikit-learn, TensorFlow, Keras, Matplotlib, Seaborn
Active on Kaggle, experimenting with classification, regression, and generative approaches
Academic and project-based experience in quantum computing using IBM Qiskit

Machine Learning: Regression, Classification, Decision Trees, Random Forest, Gradient Boosting, SVM, KNN, Clustering (K-Means, Hierarchical), PCA, Cross-Validation, Hyperparameter Tuning
Deep Learning & NLP: TensorFlow, Keras, HuggingFace, embeddings (Word2Vec, GloVe), transformers, sequence models
Data & Tools: Python, SQL, Pandas, NumPy, Matplotlib, Seaborn, Jupyter, Google Colab
Quantum Computing: Qiskit, quantum circuits, Bell states, Bloch sphere, TSP modeling, quantum annealing, QAOA, VQE

Gen AI Intensive Course Capstone (Kaggle, 2025Q1)
Generative approach to structured ML problems with feature engineering and evaluation loops.
Academic Success Classification (Kaggle: Playground S4E6)
Built ML pipeline to classify student performance; used GridSearchCV and validation strategies.
Housing Prices (Kaggle Learn)
Regression modeling for real-estate price prediction with model comparison via RMSE.
Titanic Survival Prediction
Classic binary classification benchmark problem using tree-based and linear models.
Nano Chat LLM
Lightweight LLM-style prototype: embeddings + transformer-based inference and prompt experiments.
Independent Researcher Conducting advanced study in Quantum AI and Google DeepMind architectures; applying findings to build a custom LLM