About
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.
Experience2
AI/ML & Generative AI Intern
2026-01 — 2026-04CampUs Grow
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
2025-08 — 2026-01Shyam Technologies
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.
Projects2
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.
- Next.js
- TypeScript
- Node.js
- PostgreSQL
- Prisma
- Redis
- Docker
- Generative AI
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.
- Python
- Pandas
- NumPy
- Scikit-learn
Education1
B.Tech
2022 — 2026Vaagdevi College of Engineering
Computer Science & Engineering