Samuel MATIA KANGONI

Samuel MATIA KANGONI

Computer Engineering student focused on healthcare AI. I work on on NLP, Graph Neural Networks, differentiable programming for model optimization, and interpretable AI systems. Passionate about bridging advanced ML techniques with real-world medical applications. You can download my full academic CV here.

Samuel Matia KangoniAI Researcher & Engineer

I’m Samuel Matia Kangoni, a Computer Engineering graduate from the University of Kinshasa, passionate about solving real-world challenges through Artificial Intelligence. My research and engineering work span across:

  • AI for Healthcare
  • Natural Language Processing
  • Large Language Models
  • Graph Neural Networks
  • Recommender Systems
  • Reinforcement Learning

🔬 Research Highlights

My recent work includes:

  • Enhancing Sentiment-driven Recommender Systems with LLM-Based Feature Engineering: A Case Study in Drug Review Analysis – IEEE Access (2025)
    Paper • Code
    Developed a sentiment-driven drug recommender system leveraging instruction-tuned LLMs for feature engineering. Introduced the Adaptive Confidence-Weighted Scoring (ACWS) mechanism for dynamic weighting and robust outlier handling. Conducted extensive evaluation using standard RecSys metrics and expert clinical validation, demonstrating improved interpretability and recommendation quality.

  • Structural Preservation in Efficient Pharmacovigilance Summarization: A Causal Graph-Based Evaluation Framework – IEEE AFRICON 2025
    Proposed a causal-graph-oriented evaluation methodology for pharmacovigilance summarization systems. Demonstrated how structural preservation metrics improve safety-critical summarization pipelines in real-world drug surveillance.

  • Large Language Models in Healthcare: Opportunities, Challenges, and Pathways Toward Trustworthy Clinical AI – AUTSYS-2025 (Springer LNCS)
    Co-authored a comprehensive study on the role of LLMs as clinical cognitive infrastructure, covering clinical decision support, multimodal integration, regulatory compliance, and trustworthy reasoning. Accepted for publication in the 17th International Conference on Autonomous Systems.

  • Machine Learning in Malware Analysis – Book Chapter, Apple Academic Press (2026)
    Author of Chapter 7 in Mastering Malware Development and Analysis: A Comprehensive Guide to Hybrid Malware Analysis and Virtual Sandboxing.
    Provides a practical and in-depth treatment of ML-based malware analysis, hybrid static/dynamic pipelines, and virtual sandboxing strategies for modern threat landscapes.
    Publisher page

🧪 Research Experience

Research Mentee – BASIRA Lab (Graph Neural Networks for Rising Stars)

Imperial College London — Supervisor: Dr. Islem Rekik
Oct 2025 – Present
Selected for a competitive international research mentorship program. Working on GNN architecture design, explainability, and reproducible ML, with a publication-oriented project focused on representation learning for real-world biomedical and networked data. Collaborating with a global cohort under the BASIRA Lab’s rigorous scientific framework.

💼 Experience Snapshot

I’ve worked with institutions and startups across India, France, Morocco, and the DRC through internships and consulting roles:

  • AI Trainer – EazyTraining/EAZYCONSULTING
    Designed and delivered practical online courses on AI and Data Science, creating tailored materials and guiding learners through hands-on projects, coding sessions, and real-world model deployment workflows.

  • AI Engineer – CongoExcelTechnologies
    Built RAG-based knowledge systems to support AI-driven decision-making.

  • AI Engineer – PathOr Platforms (India)
    Deployed AI agents for e-commerce and process automation.

  • AI developer – Orange Summer Challenge
    Developed Utulivu, an AI system for autism screening.

  • AI Integration Intern – IA Flex Start (France)
    Integrated LLMs with APIs in production pipelines to streamline workflows.

  • Tech4Good Lead – Huawei Seeds for the Future (Morocco)
    Led initiatives leveraging technology for social impact.

🌍 Community & Leadership

  • Zindi Africa – Country Ambassador (DRC) | Oct 2024 – Sept 2025
    LinkedIn | WhatsApp | GitHub
    Built and led a community of 200+ members to promote data science and AI, organized workshops, hackathons, and social-impact projects, and prepared future leaders to sustain Zindi’s presence.

  • University of Kinshasa – Project Coordinator & AI Lab Manager | Jul 2025 – Jul 2026
    Managed the Faculty’s AI lab and infrastructure, mentored student research initiatives, and fostered innovation in AI and computer science.

  • IngenieuxSud – Goat Feeding Challenge (FARRE Farm/Kinshasa Kimwenza) | Dec 2023 – Jul 2024
    IngenieuxSud
    Collaborated with UC Louvain students to evaluate silage feasibility, estimate herd nutrition needs, and test goats’ acceptance of different silage samples.

  • Google Developer Students Club – Co-lead, University of Kinshasa | Jul 2023 – Jul 2024
    Co-led the chapter, coordinated technical events and workshops, mentored students in AI and software development, and facilitated partnerships to grow community engagement.

🏆 Awards & Distinctions

  • 🥇 1st Prize, Hackathon TechPoly 2024 – Mat.IA: an AI-powered multilingual tutor.
  • 🥈 2nd Prize, Orange Summer Challenge 2023 – Utulivu: AI for autism diagnosis.
  • 🎓 Selected for:
    • Huawei Seeds for the Future (2024)
    • Google GDSC Leadership Program
    • Multiple AI internships

📄 Academic CV

You can download my full academic CV here.

Please feel free to reach out for research collaborations.