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.
AI Expertise
AI & Machine Learning Engineers
NLP & Prompt Engineering
Skills
python
pytorch
scikit-learn
tensorflow
langchain
rag
hugging face
Experience Level
entry-level