Biniyam BiyadgePortfolio

Crafting Digital
Experiences with

Intro

Full-Stack Engineer and Python Developer specializing in AI system evaluation and MERN stack development. I build production-style web and mobile applications with a focus on API architecture, database design, and system reliability.

View My Work View My Resume

Portrait of Biniyam. — Biniyam Biyadge
Full-Stack Engineer | AI Systems Evaluation Specialist

About Me

Hi, I'm Biniyam — a Full-Stack Software Engineer and Python Developer specializing in AI system evaluation and MERN stack development. I build production-style web and mobile applications with a strong focus on API architecture, database design, and system reliability. Skilled in Python, TypeScript-based backend systems, React and Next.js frontend development, and workflow automation using n8n.

I have proven experience evaluating AI-generated code and outputs for correctness, logic, and production readiness, using structured, rubric-driven evaluation practices. I work across the full development lifecycle — from system design and API integration to testing, automation, and deployment — with a detail-oriented approach to software quality and AI training data accuracy.

My Toolbox

HTML
Tailwind CSS
JavaScript
TypeScript
React
Next.js
Node.js
Python
Java
Go
Ruby
COBOL
PostgreSQL
MongoDB
Redis
Supabase
SQL / NoSQL
Docker
Prompt Engineering
AI Evaluation

Technical Skills

Frontend, backend, databases, automation, and AI evaluation — tools I use to build reliable systems.

Frontend

7 technologies

HTML
Tailwind CSS
JavaScriptCore
TypeScriptCore
ReactCore
Next.jsCore
React Native

Experience & Timeline

My professional journey across full-stack development and AI systems evaluation.

CH 01

01/2026 – Present

AfterQuery

United States | Remote

Software Engineering Expert | AI Trainer

Conduct structured evaluation of AI-generated software solutions, assessing logic correctness, implementation quality, and edge-case handling. Participated in Project Silver, Pluto, and Artifacts, focusing on testing, ranking, and evaluation workflows. Author and validate structured task packages for AI training pipelines, ensuring technical accuracy and full reproducibility. Provide detailed technical feedback to improve model reasoning and coding performance across multiple concurrent projects.

CH 02

03/2026 – Present

Shipd

California, USA | Remote

AI Trainer | Challenge Design & Evaluation Specialist

Participated in Project Eris and Project Olympus, contributing structured solutions used to train and evaluate AI models. Created technical challenges for other AI trainers to solve, designing scenarios that test reasoning and problem-solving ability. Solved challenges authored by fellow trainers, writing accurate, well-reasoned solutions used as high-quality training data. Collaborated with a distributed team of AI trainers, following rigorous submission and validation standards to ensure consistency and accuracy across evaluation rounds.

CH 03

01/2026 – 04/2026

Revelo

United States | Remote

AI Trainer | Code Evaluation Specialist

Evaluated AI-generated code submissions for correctness, scalability, and production-level quality across JavaScript, Python, and TypeScript. Performed structured response ranking, correction, and prompt evaluation tasks. Delivered detailed technical feedback on code quality, system design, and production readiness. Reviewed edge cases and reasoning gaps in model outputs to support iterative model improvement.

CH 04

02/2025 – 2026

Swenetix

Addis Ababa, Ethiopia | Remote

Backend Developer

Architected and maintained scalable backend systems within the MERN stack, focusing on API design, data modeling, and server-side performance. Optimized database queries and backend logic to improve response times and overall system reliability. Built and integrated RESTful APIs to support front-end features and third-party service connections.

CH 05

2024 – 2025

University of Gondar (UOG)

Gondar, Ethiopia

Software Developer & System Analyst (MERN Stack)

Designed, developed, and maintained a complaint management platform for institutional use. Built and integrated backend APIs and database structures for institutional workflows. Conducted data validation, integration testing, and quality assurance to improve system reliability and accuracy. Coordinated with stakeholders to refine requirements and improve system usability.

Education

Academic background in software engineering and modern web technologies.

Software Engineering Path

2022 – 2026

Bachelor of Science in Software Engineering

Adama Science and Technology University (ASTU)

Adama, Ethiopia

CGPA

3.59

/ 4.0

Focus Areas

Software Engineering
Data Structures
Database Systems
Web Development

Coursework focused on software engineering, data structures, database systems, and web development.

My Projects

A selection of my work. Click to see the code or a live demo.

Featured Project

BiniosEstate – Real Estate Platform

A property listing, renting, and selling platform with smart search and authentication for buyers, sellers, and renters. Built with React, Node.js, Express, and MongoDB.

React
Node.js
Express
MongoDB

GitHub Live Demo

CMS – AI-Powered Smart Complaint Management System

An AI-driven complaint management platform with a knowledge-based chatbot that guides users and automatically routes complaints to the correct department for faster resolution. Built with React, Node.js, Express, and MongoDB.

React
Node.js
Express
MongoDB

GitHub

School Management System – Academic Records Platform

A platform for managing students, classes, attendance, and academic records with an intuitive interface. Built with React, Node.js, Express, and MongoDB.

React
Node.js
Express
MongoDB

GitHub

DV Ethiopia – Assisted DV Application System

A guided DV solution where users provide their information through a clean and simple interface. The system handles formatting and final submission on their behalf.

React
TypeScript
Framer Motion
Node.js