Motivated Computer Science undergraduate with strong foundations in Data Science, Machine Learning, Deep Learning, and AI systems. Experienced in building data-driven dashboards, ML/DL models, NLP pipelines, agenti AI systems, and RAG-powered applications. Focused on clean coding, explainable AI, and real-world problem solving. Actively seeking internships and project-based roles in Data Science and AI.
Programming & Core Concepts:Python, Java, C, C (Beginner), Object-Oriented Programming (OOP)
Machine Learning & Deep Learning:TensorFlow, Keras, Scikit-learn, model training & evaluation
LLMs, RAG & AI Systems:Large Language Models (LLMs), Prompt Engineering, LangChain, Retrieval-Augmented Generation (RAG), embeddings & vector-based retrieval
MLOps & Deployment (Foundational):API-based model serving, experiment tracking, model versioning, workflow automation
Data Analysis & Visualization:NumPy, Pandas, Matplotlib
Databases & BI Tools:SQL, MySQL, Power BI
Development Tools:Jupyter Notebook, Google Colab