Rexon Pambujya

I am a Software Engineer with hands-on experience in Data Science, Machine Learning, and Generative AI development. I have worked on building AI-driven systems, backend applications, and scalable data solutions across internships and independent projects.

At XEMI, I worked as a Software Engineer Trainee where I prepared and annotated datasets for machine learning workflows, fine-tuned GPT-based models using HSN datasets, and trained AI systems using the LangChain framework. I also contributed to frontend and backend modules, including the development of an EwayBill module using Angular, HTML, and CSS.

Previously, at Cere Labs, I worked as a Data Science Intern focused on processing large-scale Indian address datasets and applying machine learning techniques for geographic clustering and coordinate analysis.

I have built several projects focused on AI, machine learning, and full-stack development, including:

• A Semantic RAG pipeline using FAISS, embeddings, and query expansion for context-aware retrieval

• A Diabetes Prediction web application using Streamlit and Scikit-learn

• An Earthquake Magnitude Prediction System Using Machine Learning Models

• An Online Service Management System for customer-technician workflows

• An Inventory Management System using Python and SQLite

• A secure OTP authentication system using Java cryptography and SHA-256

I have also contributed to open-source projects and actively use GitHub to build and maintain AI and software engineering projects involving Python, machine learning pipelines, retrieval systems, and modern web technologies.