I am a final-year B.Tech Information Technology student passionate about Python development, Artificial Intelligence, Machine Learning, Generative AI, and backend development.
I enjoy building practical AI-powered applications and backend systems using Python and FastAPI.
- 🎓 Final-Year B.Tech Information Technology Student
- 💻 Interested in Python & Backend Development
- 🤖 Interested in Artificial Intelligence & Machine Learning
- 🧠 Exploring Generative AI, LLMs and RAG
- ⚡ Building applications with FastAPI and REST APIs
- 📄 Working with AI-powered document and resume analysis
- 🔍 Interested in NLP, embeddings and semantic search
- 🎯 Looking for fresher opportunities in Python, AI/ML and Software Development
- Python
- JavaScript
- HTML5
- CSS3
- Artificial Intelligence
- Machine Learning
- Deep Learning
- Natural Language Processing
- Generative AI
- LLMs
- RAG
- Embeddings
- TF-IDF
- Cosine Similarity
- Sentence Transformers
- FastAPI
- REST APIs
- Pydantic
- SQLAlchemy
- React.js
- Vite
- Tailwind CSS
- Bootstrap
- SQL
- SQLite
- MongoDB
- Git
- GitHub
- Docker
- VS Code
- Axios
A full-stack AI-powered platform for resume analysis, ATS evaluation, job description matching and interview preparation.
Key Features:
- Resume PDF/DOCX processing
- Resume information extraction
- ATS score and resume matching
- Keyword analysis
- Grammar and spelling analysis
- AI-powered improvement suggestions
- Role-based mock interview questions
- Interview preparation workflow
- Report generation
Technologies:
React.js | Vite | JavaScript | Tailwind CSS | Python | FastAPI | NLP | TF-IDF | Cosine Similarity | Sentence Transformers
An AI-powered PDF assistant that allows users to upload documents, ask questions and receive context-aware answers using Retrieval-Augmented Generation.
Key Features:
- PDF upload and processing
- Page-aware document chunking
- Semantic search
- RAG-based question answering
- Source page references
- AI-generated quizzes
- PDF-based conversational learning
Technologies:
React.js | Vite | Bootstrap | Python | FastAPI | SQLite | PyMuPDF | FAISS | Embeddings | RAG | Gemini
Developed a complete AI backend module during my internship for a production scheduling use case.
The module uses simulated/dummy datasets to support production scheduling decisions based on batch, equipment, location and project timeline availability.
Key Areas:
- Batch availability analysis
- Equipment availability
- Location availability
- Resource allocation
- Scheduling logic
- Project timeline calculation
- Backend API development
Technologies:
Python | FastAPI | REST APIs | AI Workflow | Scheduling Logic | Data Processing
Worked on Python development, AI/ML concepts, FastAPI, REST APIs, data processing and AI-powered application prototypes.
Gained hands-on experience in backend development, AI engineering, problem-solving and software development through practical project work.
- Advanced Python
- FastAPI & Backend Development
- Generative AI
- RAG Applications
- LLM-based Applications
- Machine Learning
- NLP
- Full-Stack Development
Seeking fresher opportunities in:
Python Development | AI Development | AI/ML Engineering | Generative AI | Software Development