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Experience

Experience

  1. Co-founder & Full-Stack Developer

    2024 — Present

    Mahder Academy · Remote

    • Designed and built a live e-learning platform end-to-end — frontend, backend API, and database — now serving 100+ students across 11+ courses.
    • Own the platform after launch: uptime, bug fixes, and new features, working solo against real user feedback and usage data.
    Next.jsNode.jsMongoDBFull-Stack
  2. Software & Data Infrastructure Engineer

    Jun 2024 — Apr 2025

    Eritel Telecom · Asmara, Eritrea

    • Engineered automated ETL pipelines in Python and SQL to process large-scale industrial datasets, increasing downstream data reliability by 28% and eliminating manual transformation steps.
    • Architected scalable data models on Azure with high-concurrency support, enabling AI-assisted internal reporting tools used across multiple business units.
    • Designed and shipped automated data validation and integrity checks that cut manual troubleshooting time by 33%, owning the feature from spec through production monitoring.
    • Refactored high-volume datasets into query-optimised schemas, reducing query response times for data-heavy applications.
    PythonSQLAzureETLData Modelling
  3. Full-Stack & Analytics Engineer

    May 2023 — Feb 2024

    Eritrea Electric Corporation · Asmara, Eritrea

    • Built and shipped full-stack dashboards and reporting pipelines end-to-end, enabling real-time visualisation of power distribution data for grid operations teams.
    • Applied statistical modelling and trend analysis (deterministic and stochastic methods) to improve demand-forecasting accuracy by 23%, supporting grid capacity planning.
    • Designed clean data architectures and automated processing scripts as the foundation for later machine-learning initiatives.
    • Analysed large-scale consumption patterns, contributing to a 14% reduction in operational inefficiencies.
    PythonForecastingData PipelinesDashboards
  4. Research Assistant, Machine Learning

    2022 — 2023

    RIC Lab, Dept. of Computer Science and Engineering · Asmara, Eritrea

    • Developed named-entity recognition (NER) and part-of-speech (POS) tagging resources for Tigrinya and Ge'ez — two under-resourced Semitic/Ethiopic languages with minimal prior NLP tooling.
    • Designed annotation schemes and tagging pipelines addressing the near-total absence of labelled data, laying groundwork later extended into independent NLP projects.
    NLPLow-Resource LanguagesNERAnnotation