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Bayisa BalchaBB
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Bayisa Balcha

@bayisabalcha

AI-powered full-stack developer building RAG applications and automation systems, including a document scanner for natural-language PDF queries.

Ethiopia
Message

What I'm looking for

I'm seeking to contribute my experience in AI engineering, full-stack development, and automation to an innovative, forward-thinking development team.

I developed an Intelligent Document Scanner & RAG System that lets users upload PDFs and ask questions with context-aware answers, using LangChain, OpenAI, and Pinecone.

As a freelance AI & Full-Stack Web Developer, I build AI applications and n8n workflows, including customer support agents, Telegram bots, and multi-channel lead-generation systems. At Revelo, Postwork, and Micro1, I train and evaluate LLM responses and contribute feedback and evaluation rubrics. I also developed Agritech-ET, a mobile-first platform connecting Ethiopian farmers to market prices, services, and best practices.

Experience

Work history, roles, and key accomplishments

SE
Current

Freelance AI & Full-Stack Web Developer

Self Employed

Jan 2023 - Present (3 years 9 months)

Architect and deploy full-stack AI applications with RAG pipelines, agentic AI, and intelligent automation systems for clients in agriculture, business, and community sectors. Developed a production-ready Intelligent Document Scanner & RAG System and built advanced automation workflows using n8n.

Education

Degrees, certifications, and relevant coursework

AU

Adama Science and Technology University

BSc, Software Engineering

Currently pursuing undergraduate studies in Software Engineering, integrating academic foundations with hands-on AI engineering and full-stack development practice.

CA

Cisco Networking Academy

Certificate, AI Fundamentals

Completed the AI Fundamentals programme, building a structured foundation in machine learning, neural networks, and AI ethics.

University of Helsinki logoUH

University of Helsinki

Certificate, Artificial Intelligence

Completed the Elements of AI course, building a structured foundation in machine learning, neural networks, and AI ethics.

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