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chathuranga-sudusinghe/README.md

Hi, I’m Chathuranga Sudusinghe

AI/ML Engineer | Generative AI & LLM Systems | RAG, Agentic AI & MLOps | AI-Augmented System Builder

I build production-oriented AI/ML systems that combine data pipelines, machine learning models, Generative AI, Retrieval-Augmented Generation (RAG), agentic workflows, APIs, evaluation, deployment, monitoring, and cloud-ready engineering.

My current focus is building enterprise-grade AI systems that are not just demos, but structured, testable, measurable, and production-ready.

Core Skills

  • Machine Learning & Deep Learning
  • Generative AI, LLMs, RAG
  • Agentic AI and AI workflow orchestration
  • FastAPI, API design, backend services
  • Python, SQL
  • Basic HTML, CSS, and JavaScript for AI application interfaces
  • MLOps, CI/CD, testing, evaluation
  • Docker, Kubernetes, Terraform
  • AWS, Azure, GCP
  • Airflow, Kafka
  • Data validation, monitoring, observability

Current Focus

  • Enterprise AI/ML systems
  • Multimodal recommendation systems
  • RAG-grounded business applications
  • Agentic AI workflows
  • Production ML and MLOps
  • AI-augmented software engineering workflows

Connect

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  1. enterprise-multimodal-ecommerce-recommender enterprise-multimodal-ecommerce-recommender Public

    Enterprise AI/ML recommender system with baseline recommendations, data validation, evaluation, FastAPI, and future multimodal RAG-agentic personalization.

    Python 2

  2. enterprise-decision-intelligence-platform-edip enterprise-decision-intelligence-platform-edip Public

    Enterprise Decision Intelligence Platform (EDIP): an AI-powered enterprise system for real-time data integration, predictive intelligence, RAG-driven insights, and decision-centric business analytics.

    Python 1

  3. enterprise-aws-data-lakehouse-ml-system enterprise-aws-data-lakehouse-ml-system Public

    Production-grade end-to-end fraud/risk machine learning platform built on AWS

    Jupyter Notebook 1

  4. mba-telehealth-analytics-decision-framework mba-telehealth-analytics-decision-framework Public

    MBA Research Project: Data-Driven Telehealth Marketing Optimization using Machine Learning

    Jupyter Notebook 1

  5. ml-conversion-model-azure-deployment ml-conversion-model-azure-deployment Public

    A conversion prediction model trained using XGBoost and deployed as a production-ready FastAPI service.

    Jupyter Notebook 1