I'm a third-year CSE student at KIIT with a strong focus on machine learning, natural language processing, and data analytics. I enjoy building end-to-end solutions β from raw data preprocessing to deployed applications β and I'm always looking for opportunities to apply my skills to real-world problems.
What I'm Building
Currently deep into Agentic AI and Retrieval-Augmented Generation (RAG) systems using LangChain and LangGraph. Exploring how to build autonomous multi-step agents that reason, retrieve, and act β pushing beyond basic chatbots into real AI workflows.
Get In Touch
Let's connect.
Open to internship opportunities, collaborations, and interesting conversations about machine learning and AI.
Production-grade multi-agent AI system for Indian college students. 3 LangGraph agents, 5-layer nutrition pipeline with dual-LLM ensemble, RAG chatbot with 3-layer memory, EfficientNet-B2 food classifier, and 25 REST endpoints.
LangGraphFastAPIPostgreSQLRAGChromaDB
Data Science
Ecommerce Review Sentiment Classification
End-to-end sentiment pipeline on 100K+ Amazon reviews. Benchmarked TF-IDF with classical ML before fine-tuning DistilBERT β achieving ~90% accuracy across 5 product categories.
End-to-end analytics using Python for multi-year (2016β2024) data extraction. Interactive Power BI dashboard on GDP, health, internet penetration, and poverty with advanced DAX measures.
Power BIPythonDAXData Visualization
Data Analytics
Inventory Management System
Full-stack inventory system with normalized 5-table MySQL schema, ACID-compliant stored procedures, and a PythonβStreamlit interface managing 200+ products without writing SQL.
MySQLPythonStreamlitSQL
System Design
System Design β Low Level Design
Low Level Design case studies for Google Docs, Zomato, Spotify, and Payment Gateway applying SOLID principles and 20+ design patterns including Factory, Observer, Adapter, and Decorator.