Essa Insham

LLM & GenAI Engineer with hands-on experience designing and deploying agentic AI systems, RAG pipelines, and multi-agent LLM workflows using LangChain, LangGraph, and OpenAI API. Shipped 2 live GenAI applications on Hugging Face Spaces with Docker and CI/CD, achieving up to 89% NLP model accuracy. Proficient in Python, Transformers, FAISS, ChromaDB, and Prompt Engineering, with a strong foundation in LLM evaluation and end-to-end AI solution development.

AI/ML Intern – Data Science at Quest Innovative Solutions (2025-08 – Present)

• Developed NLP pipelines and Generative AI modules for a production chatbot, lifting intent recognition accuracy to 85%.
• Built 3 end-to-end ML models (regression, classification, clustering); improved model accuracy by ~8% through systematic optimisation and feature engineering.
• Reduced data preprocessing time by ~20% using automated EDA pipelines with Pandas and NumPy.

AI & ML Intern – JARVIS Voice Assistant at Robosoft Products and Services (2025-01 – 2025-05)

• Engineered a custom NLP intent-detection module achieving 89% classification accuracy on real-world voice commands.
• Improved LLM-powered voice assistant response quality through iterative prompt refinement and model tuning.

B.E. in Artificial Intelligence & Machine Learning – Visvesvaraya Technological University (2021 – 2025)