I build AI systems that are reliable and trustworthy in production — not just impressive in demos. The gap between a polished prototype and a dependable deployed system is where I do my best work.
- 🔬 Domains: Finance · Healthcare · Education · Public Health
- 🌍 Based in Addis Ababa, Ethiopia
- 📫 Reach me: dagiteferi2011@gmail.com
- 💬 Ask me about Agentic AI · RAG Pipelines · Microservices
- 🚀 Currently building production-grade microservices in Go at InnoSphere Technologies
It started with a single spark.
My journey into tech began when my ICT teacher first showed me how software shapes the digital world. That spark turned into obsession. In high school, I was already building websites — teaching myself HTML, CSS, and JavaScript, then diving into React, Node.js, and Express.js on my own.
As my curiosity grew, so did my ambitions. I pushed deeper into backend engineering with MongoDB, MySQL, and Python — and eventually into the world of AI and Machine Learning. Each project I built was more complex than the last: from simple web interfaces to fraud detection systems, medical data warehouses, and multi-agent AI pipelines.
Today, I bring together machine learning, backend engineering, and data pipelines to build scalable, human-centered systems that make a real difference — in finance, healthcare, education, and public health.
"The gap between an impressive demo and dependable production AI is where the real work happens."
🤖 Agentic AI Systems ████████████████████ LangGraph, CrewAI, OpenAI
⚙️ Backend Microservices ████████████████████ Go, FastAPI, gRPC, Kafka
🧠 ML & Data Pipelines ███████████████░░░░░ Scikit-Learn, Pandas, YOLO
🌐 Full-Stack Web Apps █████████████░░░░░░░ React, Node.js, PostgreSQL
☁️ DevOps & Infra ████████████░░░░░░░░ Docker, Nginx, CI/CD
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🐍 Languages |
⚙️ Backend & Frameworks |
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🗄️ Databases |
☁️ DevOps & Infrastructure |
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🛠️ Tools & Environments |
🌐 Web Technologies |
🤖 AI · ML · Agentic Systems
🏗️ Architecture & Data
| Pattern | Description |
|---|---|
| 🏢 Domain-Driven Design (DDD) | Modeling complex business domains with bounded contexts |
| ⚡ Event-Driven Architecture (EDA) | Kafka-based async microservices communication |
| 🧅 Hexagonal / Clean Architecture | Ports & adapters for testable, framework-agnostic code |
| 📮 CQRS + Outbox Pattern | Reliable command/query separation with transactional messaging |
| 🤖 RAG Pipelines | Retrieval-Augmented Generation for context-aware LLM responses |
| 🔗 Agentic AI Systems | Autonomous multi-agent orchestration with LangGraph & CrewAI |
Multi-layer RAG-based AI agent for real-time outbreak detection, integrating fragmented health data from community, facility, and One Health sources. React + FastAPI + CrewAI + YOLO + Vision-Language Models — shipped under 48-hour constraints.
Adaptive learning platform with agentic tutoring engine, weak-topic detection, and adaptive question generation. Telegram-based exam interface (aiogram FSM) + CI/CD via Docker and GitHub Actions.
≥94% Test Coverage · Multilingual AI · PostGIS Geospatial
5+ async FastAPI microservices with PostgreSQL + PostGIS. LangGraph autonomous agents (Gemini Flash) for property recommendations. Multilingual RAG chatbot in English and two Ethiopian languages with real-time transport cost via Gebeta Maps API.
~40% reduction in default rates · 35% improved loan approval efficiency
ML-based credit risk assessment for a buy-now-pay-later (BNPL) service. Full EDA, feature engineering, model training, and REST API for production integration.
83% Accuracy · 92% Precision · 71% Recall
Random Forest model for e-commerce fraud detection. Docker-containerized REST API with real-time Dash dashboards for monitoring and insights.
Ethiopian medical data warehouse aggregating Telegram channels. YOLO-based object detection for automated categorization. FastAPI + CI/CD.
Browser extension (React + TypeScript) delivering Amharic Bible verses via scheduled notifications and custom reading plans. FastAPI backend with optimized PostgreSQL and in-memory caching.
