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Mukezangoma J. — Mid-Level Customer Support Specialist from United States

Mukezangoma J.

Mid-Level Customer Support Specialist

United States 1-2 years
Open to offersNew to Platform
Languages
English
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About

Mukezangoma J. is a seasoned professional in Customer Support and AI Data Annotation, based in Kigali, Rwanda. His versatile skill set, honed through a series of international remote projects, spans inbound call handling, data quality review, and digital task management. He is proficient with various tools including Genesys, OpenCIS, SRW, Global Protect, Hubstaff, and annotation platforms, ensuring high performance in remote environments. Currently, he is a Call Agent for WEC Energy Group, efficiently managing high-volume inbound calls and supporting utility operations. Previously, Joshua excelled as a Customer Service Representative for Spirit Airlines at CCI Rwanda, processing flight bookings and managing client inquiries. He also contributed to AI projects at Invisible Technologies, enhancing machine learning datasets through precise video and audio evaluations. His education includes a background in road construction from IPRC Kigali, underscoring a diverse professional journey.

Experience

  • Call Agent

    WEC Energy Group (Remote via Arise) · 2026 — Present
    Managed a high volume of inbound calls for four utilities: MGU, MERC, PGL, NSG, and WE. Assisted customers with inquiries regarding billing, account management, and service questions while ensuring high quality assurance and performance standards.
  • Customer Service Representative

    CCI Rwanda (Spirit Airlines) · 2025 — 2025
    Handled inbound calls for Spirit Airlines, specializing in flight reservations and customer service inquiries. Processed bookings and adhered to airline-specific service protocols in a busy call center environment.
  • AI Video & Audio Evaluation Project

    Invisible Technologies · 2025 — 2025
    Evaluated video and audio materials to distinguish between AI-generated and natural components. Ensured the quality and accuracy of multimedia outputs for AI training datasets by adhering to strict annotation guidelines.
  • AI Boundary Detection Annotation Project

    Invisible Technologies · 2025 — 2025
    Reviewed and annotated datasets focusing on AI boundary detection tasks to enhance the accuracy of machine learning training. Utilized remote productivity and tracking tools including Hubstaff and various annotation platforms such as Feather.
  • Harambee Work Readiness Training

    Rwanda · 2025 — 2025
    Participated in intensive training aimed at enhancing customer care abilities, rapid typing proficiencies, professional communication, and overall workplace productivity skills for contemporary digital and customer service roles.

Skills & Expertise

Education

  • Technical Secondary School - Road Construction
    IPRC Kigali · — — 2024
  • Ordinary Level
    Lycée de Kigali