🦆 Batch data pipeline with Airflow, DuckDB, Delta Lake, Trino, MinIO, and Metabase. Full observability and data quality.
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Updated
Nov 5, 2025 - Python
🦆 Batch data pipeline with Airflow, DuckDB, Delta Lake, Trino, MinIO, and Metabase. Full observability and data quality.
A Smart Traffic Management System for Ho Chi Minh City, Vietnam leveraging batch and real-time data processing, intuitive dashboards, and monitoring tools to optimize traffic flow, enhance safety, and support sustainable urban mobility through advanced analytics and user-friendly applications.
Complete Kubernetes Lab Environment Setup Guide on Windows 11 using Ubuntu Virtual Machines
A production-grade banking system leveraging Spring Boot, Kafka, Docker, and JWT for secure, scalable, real-time financial operations.
Real-Time Flight Data Visualization Dashboard: Cloud-native web application for real-time flight tracking and airport analytics. Built with Kafka, PySpark, Elasticsearch, Kibana, Node.js (Express), MongoDB, and Docker, deployed on Kubernetes with automated CI/CD pipelines and Prometheus–Grafana monitoring.
Microservice-based project for task management with authentication, admin functions, statistics, notifications.
Benchmarking vLLM inference on Amazon EKS with GPU-accelerated serving, Kubernetes-native load generation, and Prometheus/Grafana observability.
Project to show the magic with Spring-Cloud and Kubernetes seperated into two projects. One focusting on docker-compose and the other on Kubernetes. Depending on the technologie different Tools are used. Eureka, Config-Server, Spring-Gateway, Keycloak, Resilience, Swagger, Spring-Reactive, Zipkin, EFK Promotheus and Grafana.
End-to-end MLOps pipeline for obesity classification — MLflow & DagsHub tracking, CI/CD with GitHub Actions & Docker, Prometheus & Grafana monitoring.
End-to-end IoT telemetry pipeline on Raspberry Pi — ESP32 sensors → Wi-Fi edge gateway (routing/NAT) → MQTT + Prometheus → Grafana. Containerised with Docker, provisioned with Ansible, CI on GitHub Actions.
📦 Complete Deliverable A fully functional, production-ready monitoring system built in Rust, comparable to commercial solutions like Datadog or New Relic. 📊 Project Statistics Total Files: 60+ Lines of Code: 7,500+ Crates: 3 (common, agent, collector) Dependencies: ~100 crates in total Documentation: 6 markdown files (4,000+ lines) Deployment Co
ShadowTrace: Graph-Topology-Aware Fraud Ring Detection via Heterogeneous Network Embeddings and Temporal Edge Signals
76 - A small YAML-driven Python job scheduler on APScheduler with retries, SQLite, webhooks, and metrics.
Kubernetes GitOps deployment of MERN microservices using Argo CD with Prometheus & Grafana monitoring.
monitoring the node.js application using the promotheus
Implementing a complete DevOps pipeline for a microservices-based e-commerce application focusing on containerization, orchestration, automation, and observability.
High Availability & Scalable DevOps Framework using Microservices, Docker, AWS ECS Fargate, Prometheus, and Grafana. Built with Flask, React, and MongoDB Atlas for cloud-native deployment and monitoring.
RefineOps is a fully automated, cloud-native CI/CD pipeline implemented using AWS EC2, Jenkins, Docker, DockerHub, Kubernetes (k3s), Prometheus, and Grafana. This project demonstrates real-world DevOps practices including continuous integration, continuous deployment, containerization, orchestration, and monitoring.
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