Open to opportunities

Ishrath Fathima

@ishrathfathima

Message

I build evaluated GenAI and RAG systems that improve document intelligence workflows.

India

Message

What I'm looking for

I'm looking for entry-level or internship opportunities in AI/ML, Generative AI, and RAG where I can build and evaluate practical AI products, contribute to production workflows, and continue growing as an engineer.

At Bosch, I built and deployed a secure production-style RAG chatbot using Azure OpenAI GPT-4o, LangChain, Streamlit, ChromaDB, OCR, and embeddings. It reduced manual document review effort by 70% and improved query response accuracy by 80%.

I'm a final-year Artificial Intelligence and Machine Learning student focused on Generative AI, retrieval-augmented generation, NLP, and model evaluation. I validate ML systems with precision, recall, F1-score, and holdout-set testing.

I've also built an EEG-based emotion recognition system that achieved 99.8% classification accuracy using Neural Networks, and Feedback AI, a classifier that processed 11,555 Google Play reviews at about 81.5% accuracy and 0.76 macro F1.

I enjoy turning AI concepts into practical, tested applications, from retrieval systems and chatbots to interactive Streamlit and Plotly dashboards.

Experience

Work history, roles, and key accomplishments

Generative AI & RAG Intern

Bosch

Oct 2025 - Dec 2025 (2 months)

Built and deployed a production RAG chatbot using Streamlit, Azure OpenAI (GPT-4o), LangChain, ChromaDB, OCR, and embeddings, cutting manual document review effort by 70%. Designed a custom keyword- and block-based retrieval system that increased query response accuracy by 80%.