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Report abuse๐ฏ About Me
I'm a 3rd-semester Data Science student at PUCIT, passionate about building autonomous AI systems, intelligent workflows, and scalable backend solutions. I focus on combining Python, automation, data analysis, and agentic AI to solve real-world problems. I enjoy experimenting with AI agents, workflow automation, and data-driven apps while constantly leveling up my skills.
| ๐ ๏ธ Skill Area | Proficiency |
|---|---|
| Python | โ โ โ โ โ (Advanced) |
| Data Analysis (pandas, NumPy) | โ โ โ โ โ (Strong) |
| Visualization (Matplotlib, Seaborn) | โ โ โ โโ (Growing) |
| OpenAI SDK, Agents & Prompt Engineering | โ โ โ โโ (Good) |
| LangChain & Agentic Workflows | โ โ โ โโ (Good) |
| n8n & MCP (Workflow Automation) | โ โ โ โโ (Learning) |
| Web Scraping & Crawl4AI | โ โ โ โโ (Learning) |
| Statistical Analysis & Probability | โ โ โ โโ (Improving) |
| C++ (DSA & OOP Projects) | โ โ โ โโ (Solid) |
| Git & GitHub | โ โ โ โ โ (Comfortable) |
| Asynchronous Python | โ โ โโโ (Learning) |
Panaverse Agent App
Conversational AI assistant built with OpenAI Agents SDK, Chainlit, and FastAPI for intelligent automation workflows.
Statistical Analysis Report
Research project analyzing how flexible vs. fixed schedules affect student performance. Used Pandas, NumPy, and Matplotlib.
Document RAG System
Mini RAG app answering questions from uploaded PDFs using LangChain, Pinecone, and Gemini API.
String (C++ Class) Clone
Recreated std::string in C++ with manual memory management, deep copy, and operator overloading.
Tic-Tac-Toe in C++
Classic CLI game implementing OOP principles and clean code structure.
โLearning is never cumulative, it is a movement of knowing which has no beginning and no end.โ โ Bruce Lee
A custom C++ implementation of the std::string class with full memory management, operator overloading, and OOP design principles
C++
Statistical analysis of how fixed vs. flexible schedules affect student performance
Jupyter Notebook 1
๐งพ Modular C++ cash memo (billing system) using OOP and Makefile
C++
๐ค My comprehensive learning journey through OpenAI Agents SDK - from basics to production-ready applications. Learning by teaching, building by doing. Inspired by expert educational resources, enhaโฆ
๐ Public dataset of 1000 books scraped from Books to Scrape using Python, crawl4ai, and Gemini LLM โ provided in JSON & CSV formats for AI, RAG, and data science projects.
Python
A simple Retrieval-Augmented Generation (RAG) project built with LangChain and Streamlit. Upload documents (PDF/TXT) and interact with them using natural language questions powered by embeddings anโฆ
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