Electronics & Telecommunication Engineer | Multidisciplinary Systems Engineer
📍 Kigali, Rwanda

Domains: Embedded Systems • ML Operations • Software Development • Data Engineering

I'm an Electronics & Telecommunication Engineer with a multidisciplinary background spanning hardware, software, and systems engineering. My career journey bridges the physical and digital worlds—from operating UAVs and maintaining embedded systems to building data pipelines and web applications for ML teams.

Current Role: Autonomy Annotation Technical Lead at Zipline
Background: UAV Operations → RF Engineering → ML Operations → Technical Leadership
Impact: Built systems that save 95% of manual time and support 30+ team members processing 1,000+ work units/day

What makes me unique: I bring hardware intuition to software problems and software thinking to hardware challenges—an all-round engineer comfortable across the full technology stack.

engineering_domains = {
    "electronics_embedded": {
        "background": "BSc Electronics & Telecommunication Engineering",
        "experience": ["UAV operations", "RF systems", "Hardware troubleshooting"],
        "projects": ["Lifesaving drone missions", "Telecom drive testing", "Systems maintenance"]
    },
    "ml_operations": {
        "focus": "Supporting ML perception teams with data and tooling",
        "skills": ["Annotation pipelines", "Quality metrics (IoU, IAA)", "Data workflows"],
        "impact": "60% error reduction, 30+ team members supported"
    },
    "software_development": {
        "languages": ["Python", "JavaScript (ES6+)", "SQL"],
        "platforms": ["Databricks", "Google Apps Script", "Web Apps"],
        "projects": ["Automation dashboards", "Data pipelines", "Zero-dependency UIs"]
    },
    "data_engineering": {
        "tools": ["Databricks", "pandas", "SQL (Snowflake, Mode Analytics)", "ETL pipelines"],
        "apis": ["Segments.ai", "Encord", "Slack webhooks"],
        "impact": "95% time savings, 1,000+ work units/day"
    },
    "computer_vision": {
        "libraries": ["OpenCV", "scikit-image"],
        "projects": ["Bitmap complexity analysis", "Feature extraction", "Metrics design"]
    }
}

• ⚡ 95% time savings through automated reporting (2 hours → 6 minutes daily)
• 📊 1,000+ work units/day processed by production pipelines
• 🎯 60% error reduction via smart validation and QA workflows
• 📈 211% accuracy improvement in CV metrics prediction
• 👥 Supporting 30+ person teams with real-time dashboards

pandas • numpy • OpenCV • scikit-image • matplotlib • seaborn • ipywidgets

Production Databricks automation suite for annotation team operations

• Tech: Python, Databricks, pandas, Segments.ai SDK, Slack API
• Impact: 95% time savings, 1,000+ work units/day processed
• Features: Automated reporting, Issues Checks QA, activity-based metrics

Full-stack web application for grading take-home assignments

• Tech: Google Apps Script, JavaScript (ES6+), HTML5, CSS3
• Features: 10-star rating system, weighted scoring, draggable panels
• Impact: Standardized evaluation process with exportable results

• 🧠 Deep Learning (PyTorch, TensorFlow)
• ⚛️ React & TypeScript for modern web development
• 🔄 Advanced ML Ops practices

• 💼 LinkedIn: rwego-toussaint
• 📧 Email: [email protected]
• 📧 Personal Email: [email protected]
• 📞 Phone: +250 784 081 225
• 📍 Location: Kigali, Rwanda

• 🇷🇼 Kinyarwanda - Native
• 🇬🇧 English - Fluent
• 🇫🇷 French - Fluent
• 🇹🇿 Swahili - Basic

• 🛩️ Former UAV operator for lifesaving drone deliveries
• 🤖 Passionate about building tools that empower teams
• 🌍 Worked with international teams across multiple time zones
• 📊 Love turning messy data into actionable insights