- 🎓 Pursuing B.Tech in Information Technology
- 🧠 Building strong fundamentals in Data Structures & Algorithms (C++)
- 🌐 Working on React.js frontend interfaces and user flows
- ⚙️ Developing APIs with FastAPI/Flask and PostgreSQL
- 🤖 Applying Machine Learning, NLP, and Generative AI to practical use cases
- 🚀 Working with deployment workflows, Docker, and platforms like Hugging Face, Render, Vercel, and Railway
- 🎯 Looking for internship opportunities where I can contribute and learn through real product work
- Responsive React interfaces for dashboards, forms, and product pages
- REST APIs with FastAPI/Flask connected to PostgreSQL or other databases
- ML-enabled features for data cleaning, model training, and inference endpoints
- Small production-style builds with Git, Docker, Postman, and deployment workflows
- Project work that solves common problems instead of showcasing random demos
- Data preprocessing, cleaning, and EDA for real datasets
- Feature engineering, model selection, and evaluation
- NLP workflows such as text preprocessing, tokenization, and embeddings
- GenAI builds using RAG pipelines and LangChain components
- REST API development using FastAPI/Flask
- CRUD operations with PostgreSQL-backed services
- API testing and debugging with Postman
- ML model integration into backend services
- Git/GitHub branching and collaboration workflow
- Debugging and performance-oriented problem solving
- Modular code organization and maintainable project structure
- Deployment with Docker and platforms like Hugging Face, Render, Vercel, and Railway
- Advanced DSA for placements and coding rounds
- System Design fundamentals for scalable applications
- Production ML deployment with FastAPI + Docker
- LLMOps fundamentals for practical GenAI applications
- Frontend, backend, and full-stack internship roles
- Data Science, AI/ML, and GenAI project work
- Open-source collaboration and product-focused builds
Building practical software across frontend, backend, databases, deployment, and AI.
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