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AI Engineer with 1+ years in Data Analytics & Machine Learning
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Assessing your cultural and operational fit
Data Science undergraduate and Machine Learning Engineer with practical experience in healthcare data analytics, AI system development, and intelligent web-based solutions. Demonstrated capability in building end-to-end AI systems including Chatbot, recommendation tools, and tracking platforms. Experience spans hospital data environments, university innovation labs, and national-level hackathons. Strong focus on applied artificial intelligence, problem-solving, and scalable digital solutions within academic and public sector contexts.
Mbeya University of Science and Technology (MUST)
Bachelor of Engineering · Data Science
August 1, 2022 – Present
Ihungo Boys Secondary School
Advanced Level Secondary Education · PCM Combination
June 1, 2019 – May 31, 2021
Magufuli Library AI – Mbeya University of Science and Technology
Current project (AI-powered system design)
October 1, 2025 – Present
Mbeya, Tanzania
Industrial Practical Training – MUST IoT Club
Industrial Practical Training – MUST IoT Club
July 1, 2025 – September 30, 2025
Mbeya, Tanzania
College of Information and Communication Technology
Industrial Practical Training – Machine Learning & Artificial Intelligence
July 1, 2024 – September 30, 2024
India
Mwalimu Nyerere Memorial Referral Hospital
Data Analyst
July 1, 2023 – September 30, 2023
Musoma, Mara Region, Tanzania
AI-powered postal packet tracker prototype
June 23, 2026 – Present
Developed an AI-powered postal packet tracker prototype recognized among top finalists in a national hackathon hosted by Tanzania Communications Regulatory Authority.
AI-driven digital library assistant
June 23, 2026 – Present
Currently architecting an AI-driven digital library assistant to improve information accessibility at MUST.
MUST AI Chatbot
June 23, 2026 – Present
Successfully built and deployed MUST AI Chatbot serving a university-wide academic community.
Mastering MLops
University of Kerala India
January 1, 2026 – Present
Digital Entrepreneurship Education program
JA Africa
January 1, 2024 – Present
Cultural Fit Analysis
The candidate's involvement in diverse academic projects and hackathons, coupled with a stated interest in continuous learning in emerging AI technologies, suggests a good cultural fit for an innovative and growth-oriented environment. Their work on public sector solutions (university chatbot, postal tracker, library assistant) indicates a desire to apply AI for practical, beneficial outcomes. The current academic status and limited professional experience mean they are likely adaptable and eager to learn new organizational cultures.
Soft Skills & Operational Fit
The candidate demonstrates a proactive approach to learning and problem-solving through participation in hackathons and ongoing academic projects. Their experience in multidisciplinary teams suggests an ability to collaborate. The focus on practical application of AI in academic and public sector contexts indicates a results-oriented mindset. However, the experience is primarily academic and internship-based, which may require additional operational guidance in a corporate setting.