Open to opportunities

Godage Parth

@godageparth

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Computer engineering student building end-to-end Generative AI applications and RAG systems.

India

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What I'm looking for

I seek AI/GenAI internship or research roles where I can build and deploy LLM-based products, work on RAG and retrieval systems, and grow in a collaborative, fast-learning environment.

I am a computer engineering student focused on building end-to-end Generative AI applications using LLMs, LangChain, and vector databases, with hands-on experience deploying AI workflows via Streamlit.

I developed a Retrieval-Augmented Generation (RAG) internal knowledge assistant that handles document ingestion, text chunking, embeddings, semantic search, and controlled LLM answer generation, and an AI-powered LinkedIn post generator leveraging prompt engineering and few-shot learning.

I hold practical experience with Python, LangChain, ChromaDB, LLM APIs, and Google Cloud badges, and I am actively seeking AI/GenAI internship and research opportunities where I can contribute to real-world AI tools and continue learning quickly in collaborative teams.

Experience

Work history, roles, and key accomplishments

GenAI Engineer

Self Employed

Developed an AI-powered LinkedIn post generator using prompt engineering and few-shot learning with a Streamlit interface to produce high-quality posts by topic, length, and language preferences.

Python Prompt Engineering Streamlit Few Shot Learning UI Development

GenAI Developer

Self Employed

Built a RAG-based internal AI knowledge assistant that ingests PDFs, performs text chunking and embedding, and returns LLM-generated answers via a Streamlit UI to improve document retrieval and Q&A workflows.

Python ChromaDB Streamlit Embeddings Prompt Engineering

Education

Degrees, certifications, and relevant coursework

Ajeenkya DY Patil School of Engineering

Bachelor of Engineering, Computer Engineering

2023 -

Grade: 8.23/10 (till Semester 5)

Activities and societies: Developed RAG-based internal knowledge assistant and an AI-powered LinkedIn post generator; used Python, LangChain, ChromaDB, LLM APIs, and Streamlit.

Pursuing a Bachelor of Engineering in Computer Engineering with hands-on experience building Generative AI applications and a current CGPA of 8.23/10 (through Semester 5).