Application Profile
Digital Health Engineering (AEDH) @ Roche
Targeting the Senior Software Engineer (ROCGJP00040556) position at Kaiseraugst. Having previously validated critical Industry 4.0 MES platforms for blood gas sensors at Roche Rotkreuz, I am deeply familiar with Roche’s commitment to quality.
With over 20 years of low-level systems programming, secure Python and Go backend microservices development, and automated platform engineering, my philosophy is built on high-fidelity, deterministic execution in large-scale environments. I do not just deploy software; I architect self-healing, auditable distributed platforms using production orchestration tools (Kubernetes, Nomad), cloud providers (AWS, GCP, Azure), CI/CD pipelines, and Infrastructure as Code (Terraform, Ansible, Docker).
Engineering Philosophy & Execution
Explore the four core pillars of my technical approach. Click the tabs below to uncover detailed methodologies and real-world implementations from my portfolio.
🐍 Python, Go & High-Performance Backend APIs
API & Backend Development: I build highly scalable distributed systems and backend microservices using Python (FastAPI, Flask) and Go. By following strict contract-first design paradigms, I standardise API definitions via Swagger/OpenAPI, ensuring clear specifications and robust, secure service communication.
Kernel-to-Web Observability: Engineered "The Simulacrum"—a
lightweight monitoring agent written in C++17 and Go. It communicates directly with the
Linux kernel via system calls (statvfs, parsing /proc) to
serve sub-millisecond hardware states, providing high-efficiency telemetries in
large-scale production environments.
Technical Competency Mapping
A visualization of my core competencies across software engineering, platform operations, and data governance. The chart maps proficiency levels aligning with the Senior Software Engineer requirements at Roche.
- Python & Go Backend: FastAPI, REST/gRPC API Development, Microservices
- Platform Engineering & K8s: Production Kubernetes, IaC (Ansible/Terraform)
- Cloud & DevOps (AWS): EC2, VPC, ELK, CI/CD, Zero-Downtime Proxies
- Distributed Systems: Kernel Telemetry, Observability, Scalable Automation
- RFC & Design Docs: Swagger/OpenAPI specifications, Architectural guidelines
- Agile & GxP Compliance: Scrum/Kanban, FDA Part 11, Large-Scale Environments
Infrastructure as Code & Microservices Deployment
A highly automated system orchestration detailing the multi-microservice reverse proxy architecture and PM2 process management, entirely provisioned and updated via Ansible.
Dependency Bootstrapping
- Apt Packages: Install nginx, certbot, rsync, nodejs.
- PM2 & Serve: Global NPM tools for runtime orchestration.
- Snakeoil Certs: Pre-verifies SSL binding before Certbot.
Code Synchronization
- Rsync Engine: Sync local directories to remote server.
- Integrity Safeguards: Checksums verification without local permission mutations.
- Exclusions: Skips node_modules, .next, and runtime state files.
Building & Compilation
- Change-Triggered: Only installs and builds when source diffs are registered.
- Build Recovery: Stat module check ensures persistent dist preservation.
Service Orchestration
- PM2 Control: Safe microservice process teardown and spin-up.
- Reverse Proxy: Compiles Nginx config blocks and triggers systemd.
| Layer | Technologies | Role & Rationale |
|---|---|---|
| Control Plane | Ansible 2.15+ Jinja2 | Idempotent system provisioning, dynamic template rendering, and file synchronization. |
| Edge Security | Nginx Certbot | SSL/TLS termination, HTTP-01 challenge resolution, and secure client subpath routing. |
| Process Manager | PM2 (Node.js) | Enforces cluster resiliency, auto-restarts runtimes, and mounts serving configurations. |
| Microservices (Node) | Next.js Express Angular Vite | Supports quick CSR client runtimes (Taskstick) and high-performance SSR frameworks (Proheadz). |
| Microservices (AI) | Python 3.14 Poetry LangChain | Handles dense multi-agent AI ecosystems, vector DB fabrics, and contextual RAG pipelines. |
Architectural Vision: The Agentic Mesh
Interactive representations of self-organizing ecosystem architectures. Click on the nodes in the diagrams below to explore the data pipeline and squad routing logic.
AI-Ready Medallion Pipeline
Mesh Interaction details
Specialized AI Squad Architecture
Live Infrastructure Demos
Portfolio & Research Library
Access detailed whitepapers and architectural blueprints.