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Nikhil Patil

@nikhilpatil5

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I build RAG pipelines, multi-agent workflows, and full-stack Generative AI applications.

India

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What I'm looking for

I'm looking to build practical Generative AI and agentic AI systems, including RAG pipelines, multi-agent workflows, and full-stack AI applications, while growing through hands-on development and production-style projects.

I've built production-style Generative AI automation workflows at Learner's Byte Global InfoVision, including RAG-based Q&A, expense tracking, and AI-powered language conversion. I used LangChain, CrewAI, and n8n to deliver end-to-end demos and rapidly prototype multi-step agent workflows.

I built StudyBuddy, a RAG-powered chatbot that generates syllabus-aligned answers from textbook PDFs using LlamaIndex, ChromaDB, CrewAI, Groq LLM, FastAPI, and Streamlit.

My projects also include a vision-language crime detection system using OpenAI CLIP and a Power BI dashboard that improved airline-performance visibility across more than 300K flight records. I achieved 95% classification accuracy on smartphone-based human activity recognition through feature engineering, PCA, and machine-learning model tuning.

I'm completing a Bachelor of Engineering in Artificial Intelligence and Machine Learning and enjoy turning AI, analytics, and automation ideas into practical applications.

Experience

Work history, roles, and key accomplishments

AI Intern

Learner's Byte Global InfoVision

Feb 2026 - May 2026 (3 months)

Delivered 3 production-style GenAI automation workflows (RAG-based Q&A, expense tracking, AI-based language conversion) via successful end-to-end demos, building agentic pipelines in LangChain, CrewAI, and n8n. Strengthened prompt engineering and debugging skills, enabling faster iteration on multi-step agent workflows through rapid prototyping of RAG- and CrewAI-based micro-projects.

Lang Chain Crew AI N8n RAG Prompt Engineering Python