01
LLM applications
Agentic workflows, MCP integrations, RAG systems, evaluation, and the product interfaces around them.
I build AI systems that connect models, tools, and data.
Ask my AI
Explore my work, skills, and experience using information from this site.
Selected work.
Deployed employer work, client delivery, and portfolio projects in AI and data engineering.
Agentic AIMCPLLMsFull-stack
Intelligent Form System→An internal AI workflow that turns documents, links, or plain text into structured records, asks for missing information, and executes an approved action after human review.
dbtQuickSightData EngineeringAutomation
Automated BI Reporting Pipeline→A client reporting pipeline built over more than 1TB of source data and 7.2M reporting rows, using dbt, Amazon QuickSight, and scheduled daily refreshes.
GenAILLMsEvaluation
Résumé Tailoring & Scoring→An internal tool that generates a résumé and cover letter for a selected job, then uses LLM-based evaluation to score relevance and consistency.
RAGLLMsRAGASPython
Contract Q&A RAG→A portfolio project exploring retrieval and generation for contract questions, with RAGAS used to evaluate the pipeline.
AirflowdbtPostgreSQLDocker
Drone-Trajectory Data Pipeline→A fully dockerized data-warehouse stack for traffic-trajectory data from swarm drones (pNEUMA): Airflow ingests large CSVs (~87MB each), and dbt builds tested, documented staging/production models for spatial-temporal analysis.
RAGHugging FaceAmharic NLPFastAPI
Amharic RAG Ad Builder→A training project that uses RAG and open-source LLMs to generate Amharic text ads for Telegram channels.
LLMsFlaskRedashDocker
Redash natural-language chatbot→A training project that converts natural-language questions into SQL and returns the result through Redash.
I'm an AI engineer in Addis Ababa. I build agentic applications with LLMs, MCP, and RAG, along with the data systems and interfaces they need to be useful.
What I do
My recent work includes internal AI workflows, résumé and cover-letter generation used by trainees, and an automated reporting pipeline for a client. I also teach AI, data engineering, data science, and machine learning at 10 Academy.
How I work
I start with the problem and available data, build a small working version, test it with real examples, and improve it from there.
1,000+
Participants trained across nine cohorts
~750
Graduates across those cohorts
~250
Women among 350 graduates in cohorts I led
Experience
- AI EngineerApr 2024 - Present10 Academy · Remote
- Designed and built the Intelligent Form System, an MCP-based agentic application that extracts structured data, requests missing information, supports human review, and executes approved database actions.
- Built a job-application asset generator used by trainees to create role-focused resumes and cover letters, with LLM-based relevance and consistency evaluation.
- Build and maintain the back-end APIs, data pipelines, and full-stack features that support the training platform and its internal workflows.
- Project Delivery CoordinatorApr 2026 - PresentTenacious Intelligence
- Support end-to-end delivery of client projects, turning client needs into actionable tasks with the project manager and product owner.
- Schedule and prioritize work across teams, acting as the bridge between internal teams and the client.
- Coordinate weekly client calls (agendas, updates, follow-ups) and track progress, flagging blockers early to keep delivery on time and to the expected quality.
- Lead Tutor (promoted from Technical Tutor)Oct 2025 - Present10 Academy · Remote
- Lead the tutoring track for two cohorts that graduated around 350 trainees, approximately 250 of them women.
- Coordinate and mentor the tutoring team across AI, data engineering, data science, and machine learning programs.
- Guide trainees from technical fundamentals through project delivery.
- Technical TutorApr 2024 - Oct 202510 Academy · Remote
- Tutored across seven cohorts that graduated more than 400 trainees in AI, data engineering, data science, and machine learning.
Education
- M.Sc. in Mechanical EngineeringDec 2021 - Jul 2024Addis Ababa University
- B.Sc. in Mechanical EngineeringDec 2014 - Jul 2019Dire Dawa University
Toolkit.
Tools I have used across AI applications, software, data pipelines, and machine learning.
GenAI / LLMs
- Agentic workflows
- MCP
- Tool use
- RAG
- LLM evaluation
- OpenAI API
- Google Gemini
Software Engineering
- Python
- FastAPI
- Next.js / React
- TypeScript
- REST APIs
- PostgreSQL
Data Engineering
- dbt
- Airflow
- Docker
- DVC
- Amazon QuickSight
- SQL
ML & Retrieval
- Machine learning
- scikit-learn
- NLP
- Weaviate
- Pinecone
- Milvus
How I can help.
02
Data engineering
Data pipelines, dbt models, Airflow workflows, reporting layers, and automated dashboards.
03
Machine learning
Practical machine-learning and NLP work, from preparing the data to evaluating the result.
04
Data analysis
Exploratory analysis, clear reporting, and decision-focused views of complex datasets.
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