Professional Overview
I’m a computer science student focused on building applied GenAI systems, not just calling APIs. Currently working on a document-based AI assistant using LLMs, chunking, and retrieval (RAG) to answer questions from real PDFs with controlled context. I enjoy engineering reliable AI pipelines—handling context limits, reducing hallucinations, and integrating LLMs into practical systems using Python. Actively seeking remote AI / GenAI internship opportunities where I can learn fast and contribute to real products.
Areas of Expertise
AI & Machine Learning Engineers
Design, train, and ship production ML models — from data pipelines to model inference at scale. Covers supervised learning, neural networks, LLM integration, and model optimisation.
NLP & Prompt Engineering
Build natural language processing systems, fine-tune large language models, and craft reliable production prompts for AI-powered products.
