π Building practical AI & ML systems that crawl data, retrieve knowledge, and reason with LLMs
- π€ Building AI-powered applications with a focus on Retrieval-Augmented Generation (RAG)
- π Hands-on experience with web crawling, indexing, and semantic search
- π Strong in Python, backend APIs, and ML workflows
- π§ͺ Exploring LLM-driven automation for testing and developer productivity
- π Passionate about shipping end-to-end intelligent systems
- Python
- JavaScript (React / Node.js)
- TypeScript
- Java
- TensorFlow, PyTorch
- NLP, Retrieval-Augmented Generation (RAG)
- Vector Embeddings, Semantic Search
- LLM Fine-tuning & Prompt Engineering
- Flask, React
- Git, Linux
- MySQL
- MongoDB
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π CrawlAI_RAG
AI-powered website crawling, indexing, and natural language Q&A using Retrieval-Augmented Generation (RAG) -
π§ SimpleSense
Lightweight Python-based system for sensor data processing and intelligent signal analysis -
π§ͺ Test_Script_Migrator
LLM-based framework to migrate Protractor tests to Python Selenium -
π§ Human Activity Recognition
End-to-end machine learning pipeline using wearable sensor data
- π§ Email: ishakulkarnimscs@gmail.com
- πΌ LinkedIn: https://www.linkedin.com/in/isha-kulkarni-549803193/
- π Portfolio: https://ishakulkarni011.github.io
β¨ Turning ideas into intelligent, real-world solutions