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Exploring what’s possible with automation, AI, and systems engineering.
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
ticket-system-mock
June 7, 2026 – Present
A Django-based IT operations ticketing demo service for issue lifecycle management, workflow-driven collaboration, Kanban visualization, and API-based integrations.
View Projectagent-spec-example-confcontext
March 20, 2026 – Present
This repository provides a simple specification for experimenting with different coding agents.
View Projectnetwork-device-data-pipeline
July 26, 2025 – July 26, 2025
Prototype pipeline for ingesting, transforming, and reporting network device data using Prefect and MongoDB.
View Projectwireguard-container-endpoint
February 27, 2022 – October 28, 2022
Prototype implementation of a WireGuard Container Endpoint that can be configured through an HTTP API (VPN and iptables) and provides basic monitoring capabilities
View Projectnetworkconfgen
April 14, 2017 – October 11, 2017
Jinja2 based configuration generator with some extensions required to generate configurations for network devices. It's build on top of the Jinja2 template engine.
View Projectnetwork-config-generator
December 20, 2015 – May 5, 2018
Simple Configuration Generator for Network Devices (like Routers and Switches) that runs as a Web service based on the Flask microframework.
View Projectproduct-database
October 6, 2015 – July 9, 2023
This web service provides a central database for product information, primarily focusing on network infrastructure products. The primary use-case is an automatic EoL check for Cisco equipment, including an automated synchronisation with the Cisco EoX API.
View Projectpython-script-examples
August 22, 2015 – September 30, 2020
This repository contains my python (3) script examples that focus on use cases for Network Engineers.
View ProjectCultural Fit Analysis
The candidate's projects primarily revolve around network engineering and automation, with a strong focus on Python. While this demonstrates a clear technical interest and capability, the direct alignment with a 'Data Scientist' role is moderate. The projects show problem-solving skills and an ability to build functional systems, which are positive indicators. However, there is a lack of explicit data science projects (e.g., machine learning, statistical modeling, advanced data analysis, big data technologies beyond basic ingestion). The candidate's experience level is listed as 0, which, combined with personal projects, suggests a foundational stage in their career. The breadth of skills is good within the network automation domain but needs expansion into core data science areas for a strong cultural fit with a dedicated data scientist role.
Soft Skills & Operational Fit
The provided data does not contain information to assess soft skills or operational fit. All projects are personal, limiting insight into collaboration or work attitude.