No-Code AI Builder & Problem Solver

I am an AI Engineer and Economics graduate passionate about building practical, production-ready AI systems that solve real-world problems. My focus lies in designing intelligent workflows, developing AI agents, and deploying scalable solutions that create measurable business impact.

With hands-on experience in Machine Learning, Deep Learning, and Generative AI, I work across the full AI lifecycle — from data preprocessing and model development to evaluation, optimization, and deployment. I actively build retrieval-augmented generation (RAG) systems, experiment with LLM orchestration frameworks, and implement structured evaluation pipelines to ensure reliability and performance.

My background in Economics strengthens my analytical thinking and risk-oriented mindset, allowing me to approach AI solutions not just technically, but strategically. I am particularly interested in building AI systems that enhance decision-making, automate workflows, and improve operational efficiency for businesses.

I believe AI should move beyond experimentation into robust, scalable products. Therefore, I focus on clean architecture, observability, and deployment-ready implementations rather than only API-based integrations.

On this marketplace, I aim to collaborate with individuals and organizations looking to build intelligent systems — whether it’s AI agents, automation tools, LLM-powered applications, or data-driven solutions. I bring curiosity, structured problem-solving, and execution discipline to every project.

If you're looking for someone who combines strong technical foundations with practical business understanding, I’d be excited to build impactful AI solutions together.