Daniel Maloba

• Spearheaded the development of an AI-driven platform for personalized learning and course creation, impacting the education sector by democratizing access to AI-powered course generation tools.
• Managed backend systems, performance monitoring tools, and database management, focusing on user data analysis and performance tracking, ensuring system reliability and data integrity.

• Built an early-stage venture building firm, driving innovation and supporting startups in design thinking, business scaling, and AI-driven solutions.
• Led projects involving data capturing, analysis, and system integration to improve operational efficiency.

• Provided data analysis, gap analysis, and business diagnostics for early-stage startups.
• Integrated machine learning tools and AI models to assess performance and optimize business strategies.

• Automated energy consumption tracking systems using IoT and embedded programming (ESP32) to monitor and control building systems, such as lighting and geyser operation.
• Built a Node-Red dashboard for real-time system monitoring.

Collected and managed healthcare data, ensuring integrity and compliance with regulatory standards. Worked with SQL databases to store and manage large datasets.