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isuriyy/README.md

Isuri Wijegunawardhana

AI/ML & Data Engineering

Computer Science Graduate · Sri Lanka

LinkedIn Open to entry-level roles

I build end-to-end ML and data systems: not just the model, but the pipelines, APIs, monitoring and interfaces around it, from raw data through to deployment.

About

BSc (Hons) Computer Science graduate (Second Class Honours – Upper Division) from NSBM Green University, affiliated with the University of Plymouth, UK. Currently seeking entry-level AI/ML and data engineering roles.

Focus areas

Applied ML Data Engineering MLOps
Explainable models for clinical and healthcare problems Streaming, lakehouse architecture and pipeline orchestration Experiment tracking, model serving, monitoring and reliability

Tech stack
Languages Python SQL JavaScript C# C
Machine learning scikit-learn TensorFlow Keras SHAP MLflow
Data engineering PySpark Kafka / Redpanda Delta Lake dbt DuckDB Airflow
Backend & databases FastAPI Flask Node.js PostgreSQL MongoDB
DevOps & monitoring Docker GitHub Actions Prometheus Grafana

Featured work

Pinned below: a clinical ML screening system, a data quality monitoring platform, an MLOps reliability platform, and a streaming lakehouse pipeline.

Open to entry-level opportunities · Connect on LinkedIn

Pinned Loading

  1. dq-monitor dq-monitor Public

    Production-grade data quality data-quality python flask anomaly-detection machine-learning data-engineering

    Python

  2. PredictOps PredictOps Public

    AI-powered pipeline failure prediction and observability platform using FastAPI, PostgreSQL, MLflow, and Discord alerts.

    Python

  3. PUSL3121-Big-Data-Analytics PUSL3121-Big-Data-Analytics Public

  4. streamvault- streamvault- Public

    Real-time e-commerce data platform — Kafka/Redpanda → PySpark Structured Streaming → Delta Lake medallion architecture → dbt → Athena

    Python

  5. thalassemia thalassemia Public

    ML-based beta thalassemia carrier screening from CBC parameters for Sri Lankan primary care. SVM + SHAP explainability, MOH referral letters, couple screening, voice input, and analytics dashboard.

    JavaScript