Aerospace engineer with 4 years of industry experience, currently based in Switzerland and transitioning into software development through a Master’s, structured learning, and real-world projects.

My background is in aerospace engineering, where I developed a structured mindset, analytical thinking, and a strong attention to detail.

I am now building a new path in software development, with a strong focus on programming fundamentals, problem-solving, clean architecture, testing, and maintainable code.

I use AI as a tool to learn and build more effectively, while staying focused on developing solid technical foundations and becoming a reliable software developer.

• Strengthening my programming fundamentals
• Building real-world software projects
• Learning software architecture, testing, and clean code practices
• Improving through consistent, hands-on development
• Adapting to modern development workflows, including the effective use of AI tools

JobTaylor is an AI-powered web application that helps candidates tailor their CV to specific job offers without fabricating experience, qualifications, or certifications.

Users can create a base CV, search real job postings, evaluate compatibility, generate an adapted version, and export the result in PDF, DOCX, or Markdown.

Built with React, TypeScript, Supabase, Express, and Google Gemini, following Clean Architecture with TDD, E2E testing, and a strong focus on reliability and guardrails.

InvoiceScan is a production-grade invoice automation platform that extracts structured data from PDF invoices using OCR technology.

Users upload invoices, process them asynchronously with BullMQ queues, track events reliably via Outbox pattern, and receive structured data exports.

Built with NestJS, TypeScript, PostgreSQL, Redis, Clean Architecture, TDD, RBAC, OpenTelemetry, and production-grade GitHub Actions CI/CD pipelines.

DeepKnight is an AI-powered chess game featuring advanced opponents powered by deep learning algorithms and chess engine logic.

Players can compete against configurable AI difficulties, visualize boards and moves, analyze positions, and explore strategic game trees.

Built with Python, chess engine libraries, deep learning models (PyTorch), board visualization, and minimax/AI search algorithms with alpha-beta pruning..

• 4 years of professional experience as an aerospace engineer
• Currently working in Switzerland
• Transitioning into software development through a Master’s, courses, and practical projects

• LinkedIn: www.linkedin.com/in/ander-manas
• Email: ander_manas@hotmail.com