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Achievement: Pull Sharkx3Achievement: YOLO

Achievements

Achievement: Pull Sharkx3Achievement: YOLO

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chathuranga-sudusinghe/README.md

Hi, I’m Chathuranga Sudusinghe, MBCS

AI/ML Engineer | Applied AI Systems | Generative AI, RAG & Agentic AI | Human-in-the-Loop AI | Production ML, MLOps | AWS & Azure

Professional Member of the IEEE Computer Society and BCS, The Chartered Institute for IT (MBCS).

I build production-oriented AI/ML systems across machine learning, LLM applications, RAG, agentic workflows, Human-in-the-Loop AI, FastAPI services, MLOps, and cloud deployment.

My focus is on practical systems that are testable, measurable, maintainable, reliable, and ready for real-world deployment.

Core Skills

  • Python, SQL, FastAPI
  • Machine Learning & Deep Learning
  • Generative AI, LLMs, RAG
  • LangChain, LangGraph, Agentic AI
  • Human-in-the-Loop AI and approval workflows
  • Docker, Kubernetes, Terraform
  • CI/CD, testing, monitoring, model versioning
  • AWS, Azure, Airflow, Kafka

Featured Projects

Professional Memberships

  • IEEE & IEEE Computer Society — Professional Member
  • BCS, The Chartered Institute for IT — Professional Member (MBCS)

Connect

LinkedIn | Portfolio | Kaggle | chathuranga.cont@gmail.com

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  1. enterprise-fraud-detection-ml-system enterprise-fraud-detection-ml-system Public

    Enterprise fraud detection ML system with data lakehouse pipelines, LightGBM risk scoring, FastAPI, Kafka, monitoring foundations, MLOps, and AWS deployment architecture.

    Jupyter Notebook 4 1

  2. enterprise-ai-ml-engineering-framework enterprise-ai-ml-engineering-framework Public

    A practical AI/ML engineering playbook for real-data-first, baseline-driven, production-aware AI/ML projects.

    4

  3. enterprise-multimodal-ecommerce-recommender enterprise-multimodal-ecommerce-recommender Public

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

    Python 3

  4. enterprise-multimodal-biomedical-qa-llm enterprise-multimodal-biomedical-qa-llm Public

    Research-grade omni-modal healthcare LLM fine-tuning system using Qwen2.5-Omni for clinical documentation, patient record summarization, and clinician-in-the-loop support.

    Python 2

  5. aws-cloud-deployment-observability-lab aws-cloud-deployment-observability-lab Public

    Cloud-native FastAPI deployment on AWS using Docker, Amazon ECR, ECS Fargate, IAM task roles, S3 integration, CloudWatch monitoring, SNS alerts, and managed task recovery.

    Python 2