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I’m a full-stack developer with a strong focus on machine learning and AI, passionate about sustainable technology and building scalable software solutions. I enjoy turning complex problems into elegant, efficient interfaces and robust systems. I collaborate well with cross-functional teams, optimize UI/UX and performance, and explore how language models and retrieval-augmented techniques can power practical, eco-friendly applications.…I’m a full-stack developer with a strong focus on machine learning and AI, passionate about sustainable technology and building scalable software solutions. I enjoy turning complex problems into elegant, efficient interfaces and robust systems. I collaborate well with cross-functional teams, optimize UI/UX and performance, and explore how language models and retrieval-augmented techniques can power practical, eco-friendly applications.

Robel Amare Gebrewold

Full Stack Developer, Front-End Developer, Web Developer, +2

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I’m a full-stack developer with a strong focus on machine learning and AI, passionate about sustainable technology and building scalable software solutions. I enjoy turning complex problems into elegant, efficient interfaces and robust systems. I collaborate well with cross-functional teams, optimize UI/UX and performance, and explore how language models and retrieval-augmented techniques can power practical, eco-friendly applications.…I’m a full-stack developer with a strong focus on machine learning and AI, passionate about sustainable technology and building scalable software solutions. I enjoy turning complex problems into elegant, efficient interfaces and robust systems. I collaborate well with cross-functional teams, optimize UI/UX and performance, and explore how language models and retrieval-augmented techniques can power practical, eco-friendly applications.

Available to hire

I’m a full-stack developer with a strong focus on machine learning and AI, passionate about sustainable technology and building scalable software solutions. I enjoy turning complex problems into elegant, efficient interfaces and robust systems.

I collaborate well with cross-functional teams, optimize UI/UX and performance, and explore how language models and retrieval-augmented techniques can power practical, eco-friendly applications.

Skills

Flutter

Python

JavaScript

Large Language Models

React JS

Experience Level

Flutter

Expert

Python

Expert

JavaScript

Expert

Large Language Models

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Intermediate

Intermediate

Intermediate

Intermediate

Intermediate

Intermediate

Intermediate

Intermediate

Language

English

Advanced

Work Experience

Lead Frontend Developer at Tastelater

June 30, 2023 - June 30, 2023

Led frontend development using C# Blazor and .NET for a sustainability-focused project; integrated the Sustainability Awareness Framework (SusAF), achieving a 20% reduction in UI carbon footprint and a 25% decrease in energy consumption during development. Advocated for sustainable UI/UX design across cross-functional teams, improving user satisfaction by 15% and reducing development cycle time by 10% through Agile practices and Jira. Optimized cross-browser compatibility, reducing UI bugs by 30%.

Flutter Developer at ALLRIGHT TECHNOLOGY

September 30, 2021 - September 30, 2021

Engineered and launched the Teraki podcast and audiobook app using Flutter and Dart, increasing user engagement by 25% within three months. Implemented Provider-based state management, achieving a 30% improvement in load times and real-time synchronization via Google Firebase. Refactored code for performance, reducing memory usage by 20% and achieving a 99% crash-free rate post-launch. Delivered cross-platform features for iOS and Android, contributing to a 91% positive rating on stores.

Sustainability Chatbot (EcoWissen) – Project Lead/Developer at City Administration of Freiburg

July 1, 2024 - July 1, 2024

Deployed a chatbot leveraging open-source LLMs from Hugging Face to provide Freiburg’s sustainability data and policy information, increasing user engagement by 40% and improving response accuracy by 30%. Integrated up-to-date data sources from the Fritz Data Portal using energy-efficient AI methods. During usability testing, reduced energy consumption by 25% through optimization of the chatbot’s LLM architecture. Assessed fine-tuning versus retrieval-augmented generation (RAG), achieving a 15% improvement in response accuracy and a 50% boost in energy efficiency.