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Koreayush/README.md

Hi there πŸ‘‹ I'm Ayush Sanjay Kore

Full-Stack Data Scientist | AI Engineer | MLOps Practitioner
πŸ“ Pune, India


πŸš€ About Me

I am a graduate and Full-Stack Data Scientist focused on building production-grade AI systems that bridge the gap between machine learning research and real-world deployment.

My work spans:

  • Generative AI and Large Language Models (LLMs)
  • Natural Language Processing (NLP)
  • Recommendation Systems
  • Machine Learning Pipelines
  • Cloud Deployment and MLOps

I enjoy taking projects from data β†’ model β†’ API β†’ container β†’ cloud, ensuring they are scalable, reliable, and business-ready.


🧠 What I Specialize In

  • Designing Generative AI applications using LLMs and vector databases
  • Building NLP-based recommendation and retrieval systems
  • Developing end-to-end ML workflows (EDA β†’ feature engineering β†’ modeling β†’ evaluation β†’ deployment)
  • Creating Flask/FastAPI services and deploying them using Docker + AWS ECS
  • Working with vector search (FAISS, ChromaDB) and embedding models

πŸ’Ό Featured Projects

πŸ€– AI-Powered Cold Email Generator

A Generative AI-based automation tool that creates personalized professional cold emails using:

  • LLMs
  • Embeddings
  • Vector Store
  • Prompt Engineering
  • NLP-based text understanding

πŸ›οΈ Product Recommendation System (Production Deployed)

A real-world AI recommendation engine built using:

  • NLP + Sentence Transformers
  • FAISS vector search
  • LightGBM ranking model
  • Flask API
  • Docker containerization
  • Deployed on AWS ECS

This system delivers fast, semantic, and personalized product recommendations at scale.


πŸ“Š Customer Churn Prediction System

An end-to-end machine learning project that:

  • Analyzes customer behavior
  • Predicts churn using classification models
  • Implements feature engineering and evaluation
  • Packages the model using Docker
  • Deploys the application on AWS ECS

πŸ› οΈ Tech Stack

  • Languages: Python
  • ML & NLP: Scikit-Learn, LightGBM, TensorFlow, Transformers
  • Vector Databases: FAISS, ChromaDB
  • APIs: Flask, FastAPI
  • Cloud & MLOps: Docker, AWS ECS, ECR
  • Data Tools: Pandas, NumPy, Jupyter Notebook

🎯 Career Objective

To work as a Data Scientist / AI Engineer / MLOps Engineer in a product-driven organization where I can build scalable AI solutions that create measurable business impact.


πŸ› οΈ I Code With

Β  Β  Β  Β  Β 

🏷️ Technical Skills (Badges)

Python Machine Learning NLP Generative AI FAISS LightGBM Flask Docker AWS ECS MLOps


πŸ“« Connect With Me

LinkedIn β€’ GitHub β€’Kaggle

⭐ If you like my work, feel free to star my repositories!

Popular repositories Loading

  1. CUstomer-_Churn_Prediction CUstomer-_Churn_Prediction Public

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  2. Product_recommendation_system Product_recommendation_system Public

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  3. -AI-Powered-Cold-Email-Generator -AI-Powered-Cold-Email-Generator Public

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    Python

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    SmartBuilder is an intelligent AI coding assistant that transforms natural language project ideas into fully structured, production-ready codebases using a multi-agent architecture.

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