Angular + Modular Architectures + AI / Data Science with Python

As a Frontend Lead, I lead the development of modular architectures in Angular, fostering best practices, code standards, and effective collaboration across teams. I coordinate the definition and evolution of reusable Web Components, ensuring scalability, visual consistency and clean integration with backend services and APIs.
I drive the adoption of robust strategies for modularization, unit testing, code reviews, and technical standardization to guarantee code quality, maintainability, and scalability. I mentor the team in technical decision-making, review and approve Pull Requests, and cultivate a collaborative learning environment focused on quality and shared responsibility.

At the same time, I am immersing myself in Data Science and AI Engineering. I'm leveraging my background (Analyst of Systems) and learning agents harness, vector-databases and data embeddings, tools like LangGraph / LangChain, diving into data modelling, machine learning and AI infrastructure. My goal is to blend frontend + full-stack experience with data/AI capabilities — to be able to build modern, data-driven applications end-to-end.

Frontend & UI

• Angular (modular architectures, reusable Web Components)
• TypeScript / JavaScript, HTML5, CSS3 / Sass / Bootstrap
• Consistent UI design, reusable components, design/style guideline compliance

Full-Stack / Backend

• .NET Core 6, NestJS
• API integration, service layer when required, Modular Monolith Architecture, Microservices.

Data Science & AI / Data Engineering

• Python, data processing, data cleaning, data analysis
• Data modeling, embeddings, vector databases, machine learning / AI pipelines, data ingestion & preprocessing
• Exploring the powerfull world of Data powered by AI Applications

Architecture & Maintainability

• Modularization, reusable components and internal libraries - Facade Pattern.
• Design patterns, best practices, scalable architecture

Quality & Processes

• Unit testing, code reviews, code normalization
• Technical documentation, internal guidelines, coding standards, guidelines.

Leadership & Team Management

• Mentorship and guidance for developers, cross-team coordination
• Architectural decision-making, code review, approval workflows
• Promoting a culture of quality, collaboration, continuous improvement

• 🗂️ League of Legends Database.
• 📚 Ongoing Degree: Data Science

• 📧 Email: franpossa1@gmail.com
• 🔗 LinkedIn: https://www.linkedin.com/in/franpossa1/
• 🐦 Twitter: https://twitter.com/franpossa1

The border:1px solid red is like the console.log() of CSS 😂