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Sabin Santhosh

Assistant Professor (OC), School of Computing, Kochi

Qualification: MSc
Research Interest: Machine Learning, Deep Learning, Natural Language Processing, Explainable AI, Cybersecurity Analytics, and AI-based automation systems.

Bio Publications Experience Workshop/FDP Course Taught
Bio

Sabin Santhosh currently serves as an Assistant Professor (On Contract) at the School of Computing, Amrita Vishwa Vidyapeetham – Kochi Campus. He has industrial experience as an AI/ML Engineer and holds a Master’s degree in Computer Science with a specialization in Artificial Intelligence from the Cochin University of Science and Technology (CUSAT), along with a Bachelor’s degree in Computer Applications from Kerala University. His academic and professional interests span Machine Learning, Deep Learning, Natural Language Processing, Explainable AI, and AI-driven automation systems.

Experience
  • Assistant Professor (On Contract)
    School of Computing, Amrita Vishwa Vidyapeetham, Kochi
    (2025 – Present)
  • AI/ML Engineer
    lowtouch.ai
    (DECEMBER 2024 – JULY 2025)
    Developed agentic AI solutions, FastAPI backends, and Airflow DAGs.

Administrative Roles

  • Served as a Content Management Team Head at IEDC CUSAT
  • Served as a National Service Scheme Secretary at Kerala University
Workshop/FDP

1. Artificial Intelligence & Machine Learning Intern – IBM SkillsBuild (June 2024)

  • Led a team of nine developers for an AI/ML capstone project.
  • Worked with IBM WatsonX and developed a functional chatbot model.
  • Deployed ML models to IBM Cloud

2. Artificial Intelligence Intern – Flick Network (Nov 2024 – Jan 2025)

  • Built a model for converting natural language into SQL queries.
  • Gained hands-on experience with Docker and AWS cloud services.
  • Designed and implemented ML workflows with a focus on automation and accuracy.

3. Worked on a research project at Cochin University titled “Android Malware Detection Using Transformer Models,” focusing on behavior-based analysis and integrating Explainable AI (XAI) techniques to improve model transparency and interpretability.

Course Taught
  • Artificial Intelligence
  • Data Structures
  • Machine Learning
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