Binyam Mulat

Hi, I'mBinyam Mulat Abegaz

AI Engineer / Full Stack Developer

I build production AI systems, agentic automation, and full-stack applications that bridge software and hardware.

About Me

Binyam Mulat Abegaz

I'm an AI Engineer and Full Stack Developer with a BSc in Electromechanical Engineering from Addis Ababa Science and Technology University (AASTU). My passion for innovation led me to blend hardware and software — from embedded IoT systems to scalable cloud APIs.

Currently I focus on building AI-driven automation and agentic systems that streamline workflows and optimize costs. I've built several systems with Python, Go, Laravel, and modern frontend frameworks.

800+
DSA Problems Solved
10+
Projects Built
2+
Years Experience
15+
Technologies

Education

BSc in Electromechanical Engineering
Addis Ababa Science and Technology University (AASTU) • 05/2022 – 06/2026

Took courses in: Introduction to Programming (C++), Machine Learning, Mechatronics Systems, Computer Vision, Numerics (Computational Methods), Robotics, Embedded Systems, Modern Control.

Coding School — A2SV
Africa to Silicon Valley • 11/2023 – 11/2024

Advanced Data Structures and Algorithms and backend engineering technical fellowship; solved 800+ problems on LeetCode and Codeforces.

Kifiya AI Mastery (KAIM) Training Program
10 Academy • 05/2025 – 08/2025

Selected for an intensive 3-month AI engineering residency focused on Generative AI, Machine Learning, and Data Engineering.

Experience

My professional journey and achievements

AI Engineer

Jun 2026 – Sep 2026
Mella Software Solutions PLC • Addis Ababa, Ethiopia

Deployed generative AI and document-processing pipelines for video, image, text, and RAG workloads.

  • Deployed LTX-based video and image generation pipelines and Qwen multimodal models with FastAPI on a remote production server for video, text, and image generation
  • Implemented logging and retry handling in the workflows to help diagnose failures and improve resilience during processing
  • Automated extraction from multiple 1,000+ page technical datasheets containing images and tables using Docling, reducing processing time to under 10 minutes per datasheet for a RAG system
PythonFastAPILTXQwenDoclingRAG

AI System Engineer

Sep 2025 – Nov 2025
Budera • Addis Ababa, Ethiopia

Built multi-agent systems for financial data analysis and cost optimization.

  • Built a hybrid multi-agent system with Laravel, Laragent, and Vizra to categorize and analyze thousands of financial transaction records, replacing a largely manual categorization process
  • Built a FastAPI and LangChain microservice with MCP support to connect LLMs to 30+ external financial data sources and work with live financial data
LaravelLaragentVizraFastAPILangChainMCPDocker

AI and Machine-Learning Intern

Jan 2025 – May 2025
iCog Labs • Addis Ababa, Ethiopia

Built bioinformatics AI agents and ML models, and integrated genetic data visualization tools.

  • Designed and developed a bioinformatics AI agent using a custom-built MCP server and BioBlend, with a FastAPI backend supporting Gemini, OpenAI, and Groq
  • Engineered a React platform to integrate and test genetic data visualization tools including JBrowse and LocusZoom, validating more than 100 integrated tools for research applications
  • Implemented regression, classification, clustering, and neural-network models across 10+ machine-learning projects, applying end-to-end model development during the training program
PythonFastAPIMCPBioBlendReactPyTorchScikit-learnGeminiOpenAIGroq
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Projects

A showcase of my recent work and technical capabilities

Echo — Activity Logger & Analytics

Echo — Activity Logger & Analytics

A Chrome extension & Next.js platform that captures browsing metadata, visualizes patterns with focus heatmaps, and uses AI to calculate signal-to-noise ratios distinguishing deep work from distractions.

Next.jsMongoDBChrome ExtensionAI
SupportHub AI

SupportHub AI

AI co-pilot for support agents using Gemini for automated ticket triage and summarization. Real-time SPA front-end with Vue.js/Inertia.js, secure multi-tenancy, and background jobs with Laravel.

LaravelVue.jsInertia.jsGeminiLaragents
Hyprland AI Assistant

Hyprland AI Assistant

Native AI desktop assistant for Linux built with Golang and Flyt. Reduces workflow friction for common AI tasks by 75% by integrating directly with Google's Gemini API for multimodal text, image, and web-search interactions.

GolangFlytLinuxGemini API
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Skills

My technical toolkit and areas of expertise

Languages & Frameworks

GolangPythonTypeScriptC/C++PHPFastAPIDjangoLaravelGinReactNext.js

AI & Machine Learning

AI Agent DevelopmentLangChainMCPPyTorchScikit-learnTensorFlowNLPComputer VisionRAGPrompt Engineering

Databases & Infrastructure

PostgreSQLMongoDBRedisDockerKubernetesCI/CDLinuxGitAWS

Mechatronics & IoT

ArduinoESP-32RoboticsEmbedded SystemsSolidworksPCB DesignMQTT

Get in Touch

Have a project in mind or want to connect? Feel free to reach out.

Let's Connect

I'm always open to discussing new opportunities, creative collaborations, or questions about my work. Reach out through the form or connect with me directly via email or social platforms.