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Natnael Worku

@natnaelworku

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Full-stack engineer building ML-ready, AI-enabled web applications with React, Flask, and Python.

Ethiopia

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What I'm looking for

I’m looking for a team where I can build full-stack products with Python/Flask and modern React, ship reliable AI features, and grow through cross-functional collaboration and clear ownership.

I’m a full-stack engineer who enjoys turning messy real-world data into reliable, ML-ready outputs and production web experiences. I’ve worked on systems spanning AWS-based tooling, e-commerce automation, and AI-powered backend services.

At Horan, I diagnosed and fixed critical issues in an existing AWS-based dental internal tool—handling broken RabbitMQ consumer behavior and improving reliability. I also structured patient and case data on the backend to produce clean, normalized, ML-ready outputs for a downstream implant prediction model, aligning implementation with business and ML requirements.

With Bataillon Belette, I built automated order anomaly detection workflows using Shopify Flow for a Shopify-based platform processing 250+ monthly orders. I developed automation pipelines to support order processing and customer interaction, automating responses for 100+ customer inquiries, and deployed client-facing websites on Vercel and Netlify.

I’m also excited by AI systems: at Agents4Hire, I helped implement AI-powered automations integrating LLMs, voice recognition, and computer vision across multiple workflow modules. I designed and maintained scalable Flask backend services to improve processing speed for LLM workflows by 15%, and I continue to strengthen my craft through projects like an AI-powered learning platform and a CNN-based glaucoma detection model.

Experience

Work history, roles, and key accomplishments

Current

Full-stack Engineer

Current

Horan

Mar 2026 - Present (4 months)

Diagnosed and resolved critical bugs in an existing AWS-based dental internal tool, including RabbitMQ consumer endpoints with improved error handling and ACK logic. Structured patient and case data for clean, normalized, ML-ready backend output for an implant prediction model.

AWS RabbitMQ Data Modeling Error Handling

Current

Software Engineer

Current

Bataillon Belette

Jun 2025 - Present (1 year 1 month)

Implemented automated order anomaly detection workflows using Shopify Flow for a Shopify-based e-commerce platform to enable real-time monitoring and reduce manual review. Built automation pipelines integrating AI-assisted tools for order processing and customer interaction, and deployed client-facing sites on Vercel and Netlify.

Shopify Flow Shopify AI Tools Vercel Netlify Automated pipelines Deployment

Backend Engineer

Agents4Hire

Dec 2024 - Feb 2025 (2 months)

Collaborated on an AI-powered automation system integrating LLMs, voice recognition, and computer vision across multiple AI workflow modules. Designed and maintained scalable backend services using Flask, improving processing speed for LLM workflows by 15%.

LLM Voice Recognition Computer Vision Flask Backend Services Workflow Management

Education

Degrees, certifications, and relevant coursework

Addis Ababa Science and Technology University

Master of Science in Software Engineering, Software Engineering

2024 - 2026

Grade: CGPA: 3.82/4.0

Pursuing an M.Sc. in Software Engineering through the FastTrack program. Achieved a CGPA of 3.82/4.0 and was selected among the top 15 of 200 students.

Addis Ababa Science and Technology University

Bachelor of Science in Software Engineering, Software Engineering

2021 - 2025

Grade: CGPA: 3.82/4.0

Completed a B.Sc. in Software Engineering. Achieved a CGPA of 3.82/4.0.

African To Silicon Valley

Coding Academy Program, Software Engineering

2023 - 2024

Activities and societies: Solved 800+ algorithmic problems across LeetCode and Codeforces; built collaborative frontend apps using React/Next.js/TypeScript.

Completed a coding academy program focusing on data structures, algorithms, and competitive programming. Built frontend applications using React, Next.js, and TypeScript while collaborating in software engineering training.