kirubel Awoke
@kirubelawoke
Backend-focused full-stack engineer with ML experience building scalable, production-grade systems.
What I'm looking for
I am a backend-heavy full-stack software engineer and junior ML engineer with hands-on experience designing and deploying production-grade systems from scratch, integrating TypeScript/Node.js backends, PostgreSQL, Redis, Docker, and AWS. I have built scalable applications including a DoorDash-like delivery platform, e-commerce and marketplace systems, mobile apps, and ML pipelines for neuroimaging and autodiff research.
My work blends strong backend architecture, database optimization, DevOps automation, and applied machine learning. I author technical ML blogs, contribute code on GitHub, and deliver end-to-end solutions that prioritize performance, security, and developer ergonomics.
Experience
Work history, roles, and key accomplishments
Lead Backend Developer
Ice Addis & Simple Form Tech
Architected and implemented a production-grade backend from scratch using TypeScript/Node.js, PostgreSQL, Redis and Docker, and deployed CI/CD pipelines with GitHub Actions to AWS for scalable real-time processing.
Software Engineer
Maraki Software
Developed and maintained C# custom applications, integrated MySQL databases with optimized schemas and secure data access, and used Git-based workflows to deliver client-specific software solutions.
Android Developer
Mesimah Manager
Designed and implemented an Android task-management app using Kotlin, MVVM, Room, LiveData and Jetpack components to provide responsive local persistence and reactive UI.
Full Stack Developer
Built multiple full-stack applications (DoorDash-like delivery platform, Ethio_book, online bookstores) using React, Django/DRF, PostgreSQL/PostGIS, Redis and Celery, delivering geospatial features and real-time interactions.
Junior Machine Learning Engineer
Personal Research
Developed ML pipelines and research tools including micrograd_plus autodiff extensions and MRI neuroimaging classification models using SVM, XGBoost and feature engineering for early dementia detection.
Education
Degrees, certifications, and relevant coursework
Addis Ababa University
Bachelor of Arts, Computer Science
2018 - 2022
Grade: 3.2 GPA
Activities and societies: Programming courses and projects; languages: Python, PHP, JavaScript, TypeScript, C; participated in software development and machine learning projects.
Completed undergraduate studies in computing with coursework in mathematics and core computer science subjects, achieving a cumulative GPA of 3.2.
Unity University
Bachelor of Arts, Computer Science
2018 - 2022
Grade: 3.2 GPA
Activities and societies: Software engineering and machine learning coursework and projects; practical experience with web and backend development.
Attended Unity University for computing-related coursework concurrent with undergraduate studies, focusing on foundational mathematics and computer science topics.
Tech stack
Software and tools used professionally
D3.js
GitHub
Docker Compose
GitHub Actions
NumPy
PostGIS
MySQL
PostgreSQL
MongoDB
Memcached
Gmail
Node.js
Django
Redis
Android Studio
JavaScript
HTML5
Java
ES6
PHP
Kotlin
TensorFlow
PyTorch
scikit-learn
RabbitMQ
BullMQ
Django REST framework
Linux
GraphQL
Prisma
NGINX
s3-lambda
Android Jetpack
XGBoost
Jetpack
JAX
Score
Zod
Framer Motion
Radius
Availability
Location
Authorized to work in
Job categories
Skills
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