Senior Software Engineer

Arash Javanmardi

Software engineer focused on reliable production systems, operational tooling, automation, delivery practices, and maintainable platforms at meaningful scale.

Projects View experience
01

Production systems

Application architecture, APIs, service logic, and maintainable delivery practices.

02

Observability and automation

Prometheus, Grafana, Nagios, scheduling platforms, and operational tooling.

03

Technical leadership

CI/CD ownership, maintainable architecture, onboarding, mentoring, and standards.

Profile

Software engineer focused on reliable systems, automation, and measurable delivery.

I work at the intersection of software engineering, operational reliability, and delivery enablement, turning complex technical requirements into maintainable systems that can be operated, evolved, and trusted at scale.

My experience spans production platforms, developer workflows, observability, automation, applied research software, and API-driven systems.

Experience

Senior Application Developer · Ströer SE & Co. KGaA (Infoscreen GmbH)

04/2025 – Present · Munich
  • Implemented a full-stack observability dashboard with Prometheus and Grafana.
  • Improved Nagios dashboard load time by 96%, from about 4 seconds to 150 ms.
  • Architected centralized operating-time scheduling for 50k displays, replacing manual overrides and per-device script updates.
  • Reduced an estimated 240k annual manual interventions and supported about €3.2M/year in labor and energy savings.

Specialist Application Developer · Ströer SE & Co. KGaA (Infoscreen GmbH)

09/2024 – 03/2025 · Munich
  • Introduced and owned the company's first formalized GitLab CI/CD pipeline across build, test, and release stages.
  • Migrated Aupal, a digital signage platform controlling 50k displays across Germany, to Spring Boot.

Research Assistant, Software Development · Technical University of Munich

10/2023 – 08/2024 · Munich
  • Maintained campus-management REST APIs in Java for 53k students and professors.
  • Authored an internal tool to automate developer environment provisioning.
  • Implemented microservice business logic and mentored new hires on documentation and coding standards.

Research Assistant, Machine Learning · DFKI

09/2022 – 07/2023 · Kaiserslautern
  • Preprocessed internally annotated data and prepared it for BIM standards.
  • Improved dataset consistency for computer vision model training.

Research Assistant, Machine Learning · RPTU Kaiserslautern

12/2021 – 03/2024 · Kaiserslautern
  • Architected the RPTU AI Toolkit in PyTorch.
  • Designed sparse 3D CNN workflows with Minkowski Engine for digital twin generation from LiDAR point-cloud scans.
  • Integrated Blender's Python API for model inference and scene generation.

Technical Skills

C++ Java Spring Boot Python FastAPI Django REST Framework SQL TypeScript Node.js Docker Prometheus Grafana GitLab CI/CD Pandas Bash / Zsh PyTorch Agentic Development Cloud and AWS Services

How I Work

  • Clear system implementation with attention to maintainability.
  • Automation and tooling that reduce repeated manual work.
  • Reliability, observability, and operational ownership as part of everyday development.