Building AI-powered applications using Large Language Models, Agentic AI, FastAPI, and scalable backend systems.
I'm a final-year Data Science undergraduate at GRIET passionate about building intelligent software using Large Language Models (LLMs), Agentic AI, Retrieval-Augmented Generation (RAG), and scalable backend systems.
I enjoy designing AI applications that automate workflows, understand natural language, and solve real-world business problems through modern AI technologies.
My primary interests include:
- π€ Large Language Models (LLMs)
- π§ Agentic AI
- π Retrieval-Augmented Generation (RAG)
- βοΈ Backend Engineering
- π System Design
- π AI Workflow Automation
- AI-powered Enterprise Applications
- LLM & Agentic AI Systems
- Retrieval-Augmented Generation (RAG)
- Intelligent Document Processing
- REST API Development
- Backend System Design
- Workflow Automation
Python β’ Java β’ C++ β’ JavaScript β’ SQL
LLMs β’ LangChain β’ LangGraph β’ Prompt Engineering β’ RAG β’ OpenCV β’ TensorFlow β’ PyTorch
FastAPI β’ Node.js β’ Express β’ REST APIs
MongoDB β’ MySQL β’ SQL Server β’ Supabase
Git β’ GitHub β’ Docker β’ Linux β’ VS Code β’ Postman
β Large Language Models
β Agentic AI
β Retrieval-Augmented Generation
β Prompt Engineering
β Semantic Search
β Intelligent Document Processing
β AI Workflow Automation
β FastAPI AI Services
β Vector Databases
An AI-powered Virtual Teaching Assistant that answers course-specific questions using Retrieval-Augmented Generation (RAG), semantic search, and Large Language Models. Designed to provide grounded, context-aware responses from academic resources while minimizing hallucinations.
- Retrieval-Augmented Generation (RAG)
- Context-aware Question Answering
- Document Ingestion Pipeline
- Semantic Search
- FastAPI Backend
- Prompt Engineering
Tech
Python β’ FastAPI β’ LangChain β’ FAISS β’ LLMs
An Agentic AI knowledge management platform that converts uploaded documents into searchable knowledge bases. Supports semantic retrieval and grounded answer generation using Retrieval-Augmented Generation pipelines.
- Multi-document Knowledge Base
- Vector Search
- Semantic Retrieval
- AI-powered Question Answering
Tech
Python β’ FastAPI β’ LangChain β’ FAISS β’ LLMs
A scalable full-stack platform connecting local retailers and customers with secure authentication, inventory management, and optimized backend APIs.
- Secure Authentication
- Inventory Management
- REST APIs
- Backend Optimization
Tech
React β’ Node.js β’ MongoDB
Designed and implemented a Medallion Architecture (Bronze, Silver, Gold) data warehouse with ETL pipelines and business intelligence dashboards for analytical reporting.
- ETL Pipelines
- Data Modeling
- Fact & Dimension Tables
- Business Analytics
Tech
SQL Server β’ Power BI
- Developed enterprise software engineering skills through hands-on training.
- Built backend components and REST APIs.
- Worked on AI, enterprise networking, and scalable application development.
- Collaborated in Agile development environments.
- 450+ DSA Problems Solved
- Strong Data Structures & Algorithms
- Graphs
- Trees
- Dynamic Programming
- Greedy Algorithms
- Binary Search
- Basic System Design
- Multi-Agent Systems
- Model Context Protocol (MCP)
- Production LLM Systems
- AI Workflow Orchestration
- Advanced RAG
- MLOps
- Distributed Systems
- Executive Convener β Computer Society of India (CSI), GRIET
- Software Engineering Intern β Accenture
- AI & Full-Stack Developer
- Active Competitive Programmer
- Passionate Open Source Learner
"Build intelligent systems. Write scalable software. Never stop learning."