I'm a Computer Science Engineering student specializing in Artificial Intelligence & Machine Learning, passionate about building intelligent systems and turning AI concepts into practical applications.

My interests include Machine Learning, Deep Learning, Generative AI, LLMs, Agentic AI, NLP and AI-powered automation. I enjoy experimenting with emerging technologies, building projects from scratch and continuously improving my development skills.

🔭 Working on: LLM-powered applications, AI Agents & automation

🤝 Looking to collaborate on: AI/ML, Generative AI & innovative software projects

🌱 Currently learning: RAG, Agentic AI & advanced AI applications

💬 Ask me about: Python, Machine Learning, LLMs, OpenAI, CrewAI, Hugging Face & n8n

⚡ Fun fact: I enjoy turning AI ideas into working projects and experimenting with new technologies.

Jun 15, 2026 – Aug 15, 2026

• Worked on Data Science and Machine Learning tasks through hands-on internship assignments.
• Applied data science concepts to practical problem-solving and project-based tasks.
• Worked through data-driven workflows including data preprocessing, analysis, model development and evaluation.
• Strengthened practical knowledge of Python, data analysis, machine learning and model evaluation.
• Participated in weekly learning sessions and technical activities throughout the internship.
• Gained experience working in a professional, project-oriented data science environment.

Jun 2025 – Aug 2025

• Worked with modern AI technologies and explored LLM-powered applications and AI agents.
• Developed AI-powered systems for academic automation and career guidance.
• Worked with multi-agent AI architectures for resume analysis and skill mapping.
• Built and demonstrated AI applications using Gradio and Flask.
• Explored AI automation workflows integrating LLMs and multi-agent systems.

RAG-based AI study assistant that lets users upload study documents and ask context-aware questions. Supports document Q&A, summarization, flashcards, quizzes, and key-concept extraction.

🔗Live Demo: 🔗 Try Alexa

Tech: Python • FastAPI • RAG • Generative AI • Scikit-learn • HTML/CSS/JavaScript

An AI-powered career assistant built using a multi-agent architecture.

Features:

• 📄 Resume Analysis
• 🎯 Skill Gap Identification
• 💼 Job Recommendations
• 📚 Course Recommendations
• 🤖 Specialized AI Agents

Tech: Python • CrewAI • LLMs • Generative AI

A deep learning system for automatic news article summarization.

Implemented:

• Encoder-Decoder Architecture
• Bahdanau Attention
• Luong Attention
• NLP preprocessing
• Automatic text summarization

Tech: Python • Deep Learning • NLP • Seq2Seq • Attention Mechanisms

A machine learning/deep learning system that classifies activities such as walking, running and sitting using wearable sensor data.

Tech: Python • Machine Learning • Deep Learning • NumPy • Pandas • Scikit-learn