A mix of production ML engineering, DevOps tutorials, and side projects in computer vision and IoT.
LLM Applications
A working reference for the practical side of LLM engineering: fine-tuning, retrieval-augmented generation, model serving, and worked tutorials.
Claude Skills
A personal library of Claude Code skills — reusable slash-command workflows any project can install, starting with a skill that drafts formatted .docx documents from a template.
MLOps Labs
Hands-on labs for production machine learning: model serving with TensorFlow Serving and Seldon Core, feature stores, Kubeflow pipeline components, canary releases, and autoscaling.
DevOps Tutorial
Ansible playbooks, Docker workflows, and Kubernetes cluster operations: bootstrapping, workload scheduling, security, networking, custom resources, and HashiCorp Nomad orchestration.
Object-Oriented Programming
SOLID principles and the classic creational, structural, and behavioral design patterns, implemented and explained with runnable Python examples.
Picking Robot
A YOLO-based computer vision pipeline for a warehouse picking robot: object detection and grasp-point estimation feeding a robotic arm's pick logic.
Behavioral Biometrics
Authenticating users from how they type and move the mouse, not what they know: siamese/contrastive networks trained on keystroke and mouse-dynamics datasets.
Dicom 3D Generation
A web tool that reconstructs and segments 3D bone models from DICOM CT scans, with adjustable smoothing per axis and a browser-based upload UI.
Parking Slot IoT
A simulated smart-parking system: sensor producers, a stream consumer that tracks per-slot state in a database, and a live front-end dashboard.
Web Security
A hands-on progression through web application security topics, from beginner fundamentals to advanced exploitation and defense.