I am a Frontend Engineer specializing in enterprise-grade Angular architectures. I currently build robust, scalable applications in the highly complex genetics and healthcare domain (Current workplace GenomeUp).

I have hands-on experience designing and maintaining microfrontend architectures using Nx, managing intricate workflows that process petabyte-scale genetic data flows. My work spans entire interconnected product suites—from intuitive clinical interfaces for doctors to automated lab result processing, advanced PDF generation, and sample tracking.

The AI-Accelerated Advantage: I treat AI as a core architectural component. Not only do I use LLMs (Claude, Gemini, OpenAI) and local deployments (Ollama/Locally llms) to write better code faster, but I also build AI into the products themselves—recently developing a complex tracking system application powered directly by Claude.

• Architecture: Nx Workspaces, Microfrontends, scalable monorepo management.
• Libraries & Tools: AG Grid, Formly, Compodoc, Bootstrap, Angular Material.
• Specialized Integrations: High-complexity PDF generation and templating for medical reports using Carbone.io.

• Process: Translating complex Figma mockups into enterprise UI, Agile/Jira workflows.
• Code Management: Strict Git workflows, GitHub, and Bitbucket.

I am a frontend specialist with a strong understanding of how massive backend systems operate, allowing me to build UIs that efficiently handle petabytes of data without bottlenecking.

• Architecture: REST APIs, Serverless functions, and optimized data flow.
• Enterprise Cloud: Conceptual familiarity with AWS services and Python environments used by backend teams for genomic sequencing data.

• Product Integration: Building applications driven by LLMs (e.g., Claude-powered tracking systems).
• Model Orchestration: Advanced context engineering across Claude 3.5, GPT-4o, and Gemini 1.5 Pro.
• Local Deployments: Securely running local models using Ollama and LM Studio for R&D.

• Enterprise-Scale Rendering: Handling petabytes of data on the backend means the frontend must be hyper-optimized. I focus on efficient state management, lazy loading, and robust grid architectures (AG Grid) to keep the UI lightning-fast.
• Domain-Driven UI: I don't just build components; I understand the genetics workflow. From the doctor's screen to the lab technician's portal, the UX must be precise, secure, and intuitive.
• Microfrontend Modularity: Using Nx, I ensure that massive suite applications remain scalable, maintainable, and decoupled, allowing multiple teams to iterate rapidly.