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Rushi9234/README.md

Hi, I'm Rushikesh 👋

AI/ML • Data Science • GenAI • Software Engineering

📧 Email: rushikedar40@gmail.com   •   📍 Pune, Maharashtra, India

About Me

I am a third-year Computer Science Engineering student from MIT Academy of Engineering, Pune.

I am interested in Artificial Intelligence, Machine Learning, Data Science, Generative AI, and Software Engineering.
My work focuses on building practical projects using AI agents, RAG pipelines, computer vision, predictive modeling, data analysis, and web-based applications.

I enjoy learning by building projects, experimenting with new technologies, and improving my understanding of how real-world software and AI systems are designed.

  • Currently exploring AI/ML, GenAI, RAG, LangGraph, and Data Science
  • Building projects across AI agents, financial intelligence, computer vision, and analytics
  • Interested in AI Engineering, Data Science, Software Engineering, and product-based development
  • National Finalist at Insightfy 6.0, IIM Lucknow
  • Ranked 1st nationally in Data Analysis Round and 2nd nationally in Case Study Round

Projects I've Built

KiranaFlow AI

AI-powered underwriting system for kirana stores using computer vision, geo-intelligence, and machine learning.

Tech: FastAPI, YOLOv8, XGBoost, SHAP, OSMnx, Next.js

Repository

AutoStream

Conversational AI agent with RAG pipelines, LangGraph workflows, and automation-based conversation routing.

Tech: Python, LangGraph, LangChain, RAG, FAISS, Gemini/Groq

Repository

InvestEdge

AI-powered financial intelligence platform for market insights, portfolio diagnostics, and contextual financial analysis.

Tech: Python, FastAPI, React, RAG, LLM APIs

Repository

AI Image Caption Generator

Transformer-based image captioning system combining computer vision and NLP.

Tech: Python, Hugging Face, PyTorch, ViT, GPT-2, Gradio

Repository

CraveConnect

Machine learning pipeline for customer membership upgrade prediction with explainability.

Tech: Python, XGBoost, SHAP, SMOTE, Scikit-learn

Repository

Global Air Quality Analytics

Data science project analyzing air quality and weather patterns across global cities.

Tech: Python, EDA, Random Forest, XGBoost, LightGBM

Repository

Tech Stack

Programming Languages

AI / ML / GenAI

Web, Data & Tools

Contribution Snake

snake animation

Current Focus

AI/ML Projects
Data Science & Analytics
RAG Pipelines
LangGraph Workflows
Computer Vision
Software Engineering Fundamentals
DSA and Core CS

Pinned Loading

  1. AI-Image-Caption-Generator-ViT-GPT2 AI-Image-Caption-Generator-ViT-GPT2 Public

    Transformer-based AI system combining Vision Transformer (ViT) and GPT-2 for real-time image caption generation.

    Jupyter Notebook

  2. bengaluru-restaurant-market-intelligence bengaluru-restaurant-market-intelligence Public

    Exploratory data analysis and statistical modeling on 844 restaurant records using Python, uncovering pricing, rating, and locality-based patterns to identify high-potential market opportunities.

    Jupyter Notebook

  3. Craveconnect-membership-prediction Craveconnect-membership-prediction Public

    End-to-end machine learning pipeline using XGBoost with SMOTE for class imbalance and SHAP for model explainability, predicting customer membership upgrades and enabling targeted business strategies.

    Jupyter Notebook

  4. Global-Air-Quality-Weather-Analytics Global-Air-Quality-Weather-Analytics Public

    End-to-end EDA project | PM2.5 prediction across 5 global cities | 22 visualisations | Random Forest · XGBoost · LightGBM · Apriori

    HTML