Aynekulu M.

Key Skills

Software

Other

Top Subject Matter

AI-driven document vetting for NGOs

Top Data Types

Document

Text

Top Task Types

Classification

Transcription

Freelancer Overview

EthioTrust – Distributed Backend & AI Vetting (Lead). Brings 4+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Other. Education includes Bachelor of Science, Adama Science and Technology University (ASTU) (2025). AI-training focus includes data types such as Document and Text and labeling workflows including Classification and OCR.

Labeling Experience

EthioTrust – Distributed Backend & AI Vetting (Lead)

OtherDocumentClassification

Developed an automated AI vetting pipeline to validate NGO documents, using OCR-derived text to determine document validity and reduce manual review. This work involved extracting text from document scans and applying rule/model logic for classification-style validation outcomes. The solution was designed to run at scale with asynchronous task processing to support high-volume document checks. • OCR using Tesseract to convert document images to text • Automated document validation/classification pipeline • Integration of OCR outputs into a scalable decision workflow • Deployment of the processing stack on AWS for reliable execution

2023 - 2025

Backend & AI Systems Engineer (Project Lead) - EthioTrust

DocumentTranscription

Led the development of a distributed backend and AI vetting pipeline to validate NGO documents automatically. Reduced manual document processing by 80% through OCR-based automation and data validation checks. Designed and implemented scalable asynchronous workflows using Python services and message-driven task execution. • Built OCR-driven document validation using Python and Tesseract. • Architected distributed processing with Celery and Redis for high-volume tasks. • Deployed services to AWS with Docker for reliability and high availability. • Integrated end-to-end data processing logic for production-ready execution.

2023 - 2024

Machine Learning & Data Analysis Developer (Portfolio Projects) - Portfolio

TextClassification

Developed machine learning and data analysis projects demonstrating strong Python backend and analytics capabilities. Built and evaluated NLP and classical ML models for classification and fraud detection tasks. Applied data cleaning, feature engineering, and visualization techniques to derive insights from datasets. • Engineered a text classification spam/fraud detector using Scikit-learn and NLP methods. • Performed dataset cleaning and feature engineering with Pandas and NumPy. • Visualized analytical results using Matplotlib for clear reporting. • Implemented baseline ML classification workflows for model selection and evaluation.

2021 - 2023

Education

Work History