Available to hire
I am a Data Engineer with a background in software engineering, focused on building data-intensive systems across agriculture, finance, and education. I design scalable data pipelines, work with real-time streaming using Kafka, and deploy ML-powered solutions with tools like Airflow, Kubernetes, and dbt.
I thrive on delivering reliable production-grade systems that empower data-driven decisions. I am strong at both batch and streaming workflows, data modeling, and MLOps, collaborating with cross-functional teams to turn data into impact.
Skills
Experience Level
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Language
English
Advanced
Work Experience
DataOps Engineer at Moodle Global
October 1, 2022 - November 23, 2025Delivered dashboards that helped executives determine customer segments to focus on for revenue growth. Created an LLM-enabled data labeling pipeline that freed the team 3 days per month. Designed and implemented a central data store for internal data to enable data-driven decision-making. Developed and maintained data pipelines with change data capture to ensure timely and accurate data delivery to stakeholders. Collaborated with cross-functional teams to identify and address data-related needs and issues. Implemented data quality checks and monitoring to ensure data accuracy.
Python/ML Engineer at Sentiment-Trading
August 1, 2022 - August 1, 2022Designed and built a trading technical analysis tool with TensorFlow, Flask, and MongoDB, improving price-direction-prediction accuracy by 13%. Enhanced price forecasting accuracy by 15% with a deep learning model architecture. Expanded data sources by building 20+ web scrapers, increasing the ML engine's prediction power by 12%. Created an interactive dashboard with Dash for data reporting. Ingested, interpreted, and analyzed data to identify market trends to inform buy/sell actions.
Software Engineer at iCog-Labs
January 31, 2021 - January 31, 2021Improved an age estimator model's accuracy by 60% by reworking data processing steps and reframing the problem. Implemented an in-house visualization solution for computer vision models. Updated an old Node.js codebase, added new features, and removed deprecated libraries. Built an employee management tool with React and Node.js integrated with a biometric reader. Conducted security assessments and recommended disaster recovery and remote access improvements.
Machine Learning Engineer (Volunteer) at OMDENA Global
June 1, 2021 - June 1, 2021Added MLOps tools like ActiveLoop and MLFlow to the model-building pipeline, speeding up the process and enabling broader collaboration. Prepared datasets for computer-vision projects using open-source satellite imagery. Successfully deployed computer vision models for identifying agricultural land features and plant disease detection.
Education
Machine Learning and Data Engineering at 10 Academy
August 1, 2022 - November 23, 2025Bachelor of Science in Computer Engineering at Addis Ababa Science and Technology University
January 11, 2030 - January 1, 2021Qualifications
Industry Experience
Agriculture & Mining, Financial Services, Education, Software & Internet, Media & Entertainment
Skills
Experience Level
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
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