Hello, I'm
Melwin Xavier
Industrial AI Engineer
I am a Research Engineer specializing in predictive maintenance and intelligent asset management. Focused on developing AI-driven solutions for proactive maintenance planning and operational optimization.
Portfolio
Cloud-Based Analytics Pipeline
Developed and deployed descriptive analytics and visualization pipelines for mining equipment data using Azure Data Factory and Power BI
Knowledge Graph Framework
Designed a hybrid knowledge-driven framework combining Knowledge Graphs, RAG, and vector similarity search for maintenance insights
Predictive Maintenance Models
Implemented machine learning-based predictive models for forecasting machine failures and optimizing service intervals
AI Maintenance Planning Assistant
Developed an AI-powered maintenance planning assistant integrating logistics, inventory, and field operations data
Survival Analysis System
Conducted survival and reliability analysis for hydraulic systems to enhance preventive maintenance strategies
Entity Extraction Pipeline
Built AI-agentic pipelines for entity extraction, node generation, and knowledge graph construction
Inside My
Creative Core
I believe in bridging the gap between cutting-edge AI research and real-world industrial challenges. My approach combines deep technical expertise with a passion for creating systems that not only predict failures but transform how organizations think about maintenance and operational excellence. Every solution I build is designed with scalability and practical impact in mind, ensuring that advanced AI technologies deliver tangible value to industrial operations.
Expertise
Predictive & Preventive Maintenance
Python (scikit-learn) • Azure ML
Reliability & Survival Analysis
lifelines • scikit-survival • Minitab
Machine Learning & Vector Embeddings
PyTorch • FAISS • Pinecone
Knowledge Graphs & Ontology Engineering
Neo4j • GraphDB
Natural Language Processing (NLP)
spaCy • Hugging Face Transformers • NLTK
What I Do
Predictive Maintenance Solutions
AI-driven predictive models for proactive maintenance planning and failure forecasting
Knowledge Graph Engineering
Design and implementation of knowledge graphs for semantic reasoning and information retrieval
Data Analytics & Visualization
Cloud-based analytics pipelines and real-time monitoring dashboards
AI Agent Development
Multi-agent frameworks for intelligent automation and decision support systems
RAG Systems
Retrieval-Augmented Generation systems for intelligent information extraction
Reliability Analysis
Survival and reliability analysis for optimizing maintenance strategies
Tools & Technologies
Let's Work
Together
Have a project in mind? Let's discuss how we can work together.