Looking for a job

Arjun Kishore

@arjunkishore

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I build Python-based AI applications, from LLM-powered RAG systems to Linux distributions and search engines.

India

Message

What I'm looking for

I'm looking to build AI/ML products where I can contribute to end-to-end Python pipelines, LLM and RAG systems, semantic search, and agentic AI workflows while continuing to learn through hands-on development.

I'm an Information Science undergraduate building practical AI/ML applications in Python, including LLM-powered RAG systems, semantic search, and agentic AI prototypes.

I built TubeQuery, a YouTube RAG chatbot that fetches video transcripts, supports caption-language fallback, and lets users save notes across sessions. I designed its LangChain and ChromaDB retrieval pipeline, using Google Gemini embeddings, Groq's Llama 3.3 70B, Supadata API, and a Streamlit interface.

I also built QueryStack, a semantic search engine for Stack Overflow questions using SentenceTransformers, FAISS, FastAPI, MongoDB, and Gradio. During my Agentic AI internship at Capabl, I collaborated on an AI-powered Travel Concierge for personalized travel planning and recommendations.

Beyond AI applications, I built RaccoonOS from Linux From Scratch and created A-Sharp, a Python-based interpreted programming language with a lexer, parser, interpreter, REPL, and executable package.

Experience

Work history, roles, and key accomplishments

Agentic AI Intern

Capabl

Mar 2026 - Jul 2026 (4 months)

Learned fundamentals of AI, Generative AI, and Agentic AI concepts through an internship program. Collaborated with a team to develop an AI-powered Travel Concierge project for personalized travel planning and recommendations.

AI Generative AI Agentic AI Conversational AI AI Agent Workflows Project Development Testing Documentation