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Nagaram Joelraj

@nagaramjoelraj

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Machine learning engineer building LLM and RAG apps for real-world workflows.

India

Message

What I'm looking for

I’m looking for roles where I can build scalable, data-driven AI—especially LLM/RAG applications and reliable APIs for real workflows, with room to deploy and iterate on production-ready systems.

I build LLM-powered applications like an AI Resume Analyzer using the Anthropic Claude API, where a Flask REST API extracts text from PDFs and returns structured match insights as JSON.

I also develop RAG document Q&A with LangChain and FAISS—chunking uploaded PDFs, indexing with OpenAI embeddings, and using MMR retrieval to ground GPT-4o-mini answers.

On the multimodal side, I’ve built a BLIP-2 image captioning app with HuggingFace + Gradio, including a VQA mode and batch CLI captioning for image folders.

Experience

Work history, roles, and key accomplishments

Java Full Stack Trainee

V Cube

Aug 2024 - Jun 2025 (10 months)

Developed full-stack applications using Java, Spring Boot, Hibernate, and REST APIs; optimised MySQL queries in Agile teams using Git.

Java Spring Boot Hibernate REST APIs MySQL Git Agile

Frontend Developer Intern

UIEXM Dynish Pvt Ltd

Nov 2024 - Dec 2024 (1 month)

Built responsive UIs and reusable React components using HTML, CSS, and JavaScript to improve overall user experience.

HTML CSS JavaScript React

Machine Learning Engineer

Self Employed

Built production-ready Gen AI applications including an LLM-powered Resume Analyzer, RAG-based document chatbot, and multimodal Image Captioning system.