I'm a Full-Stack Engineer based in Addis Ababa, Ethiopia, with 6+ years of experience building scalable SaaS, healthcare, gaming, e-commerce, payment, and AI-powered platforms.
My current focus is building production AI systems that connect LLMs with real product data, workflows, and users. I work on RAG pipelines, document retrieval, AI automation, fine-tuning workflows, chatbots, AI copilots, semantic search, and internal AI tools that go beyond simple demos.
I enjoy building systems that are:
- Practical and production-ready
- Cleanly structured with scalable APIs and modular services
- Built around real business workflows and user value
- Reliable enough to run in production environments
I specialize in integrating AI into real products and existing platforms:
- Retrieval-Augmented Generation (RAG)
- Document retrieval and knowledge-base search
- LLM integrations with OpenAI, Anthropic, Gemini, and similar APIs
- AI chatbots, copilots, and internal assistants
- Fine-tuning workflows and domain-specific model adaptation
- Semantic search, embeddings, and vector-based retrieval
- Prompt engineering, prompt evaluation, and response reliability
- AI automation, agents, and background AI jobs
- Website/data scraping for AI-powered content generation
- AI content generation, summarization, classification, and reporting
- OCR, document parsing, and structured data extraction
- AI Document Assistant — RAG, embeddings, document retrieval, semantic search, and LLM-powered answers
- AI Email/SMS Flow Generator — trained generation workflows, website scraping, prompt-based editing, and automated content generation
- AI Search Visibility Platform — LLM crawling, prompt evaluation, AI analytics, and automated reporting
- Payment Orchestration Platform — multi-payment checkout flows, APIs, dashboards, AWS, Railway, Next.js, and NestJS
- Internal AI Reporting Tools — summarization, classification, analytics automation, and data extraction
- TypeScript, JavaScript, Python
- React, Next.js, React Native
- Node.js, Express, NestJS
- PostgreSQL, MongoDB, Supabase
- REST APIs, GraphQL
- Background jobs, automation workflows, third-party integrations
- RAG pipelines
- Document retrieval
- Embeddings and vector search
- LLM APIs: OpenAI, Anthropic, Gemini
- Prompt engineering and evaluation
- Fine-tuning workflows
- AI automation and agents
- OCR, scraping, data extraction, and content generation
- AWS, GCP, Azure
- Railway, Firebase, Serverless functions
- Docker, CI/CD pipelines
- Jest, Cypress
- Git, GitHub workflows
- AI-powered SaaS platforms
- RAG and document retrieval systems
- AI chatbots, copilots, and internal assistants
- Automation tools and workflow engines
- Scalable backend APIs and dashboards
- Real-time and data-driven applications
- E-commerce, healthcare, gaming, and payment systems
- Mobile apps with React Native
- 6+ years building production full-stack systems
- Built AI integrations using RAG, document retrieval, LLM APIs, embeddings, and automation workflows
- Experience across SaaS, healthcare, e-commerce, gaming, payment, and AI platforms
- 100% Job Success on Upwork
- Remote experience with international teams