I am a Computer Science undergraduate (B.Tech CSE, 2026) with a strong interest in backend development, .NET ecosystem, and applied AI/ML.
I enjoy understanding how systems work internally and building clean, scalable applications by combining solid fundamentals with real-world projects.
- C#, Java, Python, R
- .NET (Console Apps, Class Libraries, ASP.NET Core – learning)
- REST APIs
- HTML, CSS, JavaScript, React (basic)
- SQL
- PostgreSQL
- Vector Databases (FAISS)
- Pandas, NumPy
- Scikit-learn, PyTorch
- R Programming (ML with R)
- Generative AI & RAG (Retrieval-Augmented Generation)
- LangChain
- Google Gemini API
- LLaMA (via Ollama)
- Prompt Engineering
- Git & GitHub
- Docker
- Jupyter Notebook
- VS Code
- Linux & Windows
- Learning .NET & C# deeply (OOP, Delegates, Events, Exception Handling, FCL, Assemblies)
- Converting console-based applications into Web APIs
- Building backend-driven projects with clean architecture
- Working on RAG-based applications using LangChain and FAISS
- Strengthening fundamentals in system design and backend logic
-
Chat with Doc
RAG-based web application for querying PDFs using FAISS and Google Gemini. -
Audio Classifier
Deep learning-based environmental sound classification using CNNs with a modern interactive frontend. -
ML Projects (Academic & Self-learning)
Regression, classification, and decision tree models using Python and R.
I’m actively learning, building, and improving as a backend-focused software engineer.
Open to collaboration, discussions, and learning opportunities 🚀