About Me
Computer Science undergraduate with hands-on experience in Python, Machine Learning, Deep Learning, and Generative AI, gained through two applied AI/ML internships. Skilled in data preprocessing, feature engineering, and model evaluation for real-world prediction tasks using Python, SQL, and core ML/DL libraries. Built a full-stack, GenAI-powered interview preparation platform demonstrating applied system design end to end. Strong analytical thinker who works effectively both independently and in teams, with a passion for applying AI/ML and Generative AI to solve practical business problems.
Skills & Technologies
Work Experience
AI/ML & Generative AI Intern
Built and evaluated machine learning models for prediction tasks, improving accuracy through data preprocessing and feature engineering. Applied Python, Pandas, Scikit-learn, and Generative AI concepts to support applied AI/ML workflows.
AI with Python Course Completed
Developed practical AI/ML solutions using Python and Generative AI concepts across project work. Strengthened applied Python development through collaboration on AI, ML, and GenAI projects.
Projects
NeuralPrep.ai – AI Interview Preparation Platform
Built an AI-powered interview platform generating questions and automated feedback using large language models. Developed full-stack frontend and backend with database integration and REST APIs, tested authentication, API, database, and AI workflows including handling positive, negative, and edge cases.
House Price Prediction
Built a house price prediction model using Python libraries with data preprocessing and feature engineering. Trained and evaluated regression models to identify key property factors and improve prediction accuracy.
Education
B.Tech
Computer Science & Engineering