Janick Kollegger
AI Training Specialist | Software Engineering (Aspiring) | Prompt Engineering & LLM Evaluation
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About
Detail-oriented AI Training and Prompt Engineering specialist transitioning from a 10-year career as a professional chef into software engineering and AI-assisted workflows. Holds a Web Design Fundamentals certificate from SAE Institute Zurich and a Google AI Essentials Specialization (5 courses, Coursera), and is expanding these foundations with hands-on practice in HTML, CSS, JavaScript, code review, and debugging through the FreeCodeCamp curriculum. Combines strong analytical thinking and quality-control discipline built under high-pressure, deadline-driven conditions with practical skill in LLM evaluation and prompt design.
Reliable, fast-learning, and comfortable working independently in fully remote, multicultural environments — well suited for AI data annotation, model evaluation, and code-quality review roles at companies such as Outlier, Alignerr, Invisible Technologies, and TELUS Digital.
Experience
Self-Directed Software Development & AI Training - Independent / Self-Taught
(2026-01)
- Completing the FreeCodeCamp Responsive Web Design and JavaScript Algorithms and Data Structures curricula, building a foundation in front-end development and programming logic.
- Build and debug responsive web pages using HTML5 and CSS3, applying code review practices to improve structure, readability, and quality.
- Use AI tools (ChatGPT, Claude AI) daily to analyze code, evaluate output quality, and refine prompt engineering workflows — directly applicable to AI training, response evaluation, and data annotation tasks.
- Develop and test structured prompts across multiple use cases, documenting what produces accurate, high-quality AI responses versus flawed ones.
- Maintain a disciplined, self-managed daily learning routine, tracking progress and applying new concepts to practical mini-projects.
Professional Chef - Switzerland
- Delivered consistent, high-quality output under strict time pressure in fast-paced, detail-critical environments — directly transferable to quality review and evaluation work with fixed accuracy standards.
- Applied rigorous quality-control checks to every task, catching and correcting errors before they reached the final result.
- Collaborated daily within multicultural, multilingual teams across Switzerland, building strong cross-cultural communication skills relevant to distributed, international remote teams.
- Solved unexpected problems in real time while maintaining consistent standards — a mindset now applied to debugging and code review.
Education
Certificate - Web Design Fundamentals - SAE Institute, Zurich (2016)
Specialization - Google AI Essentials Specialization - Google (via Coursera) (2026)
Course - Responsive Web Design - FreeCodeCamp
Course - JavaScript Algorithms and Data Structures - FreeCodeCamp


