• Pursuing Ph.D in Computer Science and Engineering from Noorul Islam Centre for Higher Education , Kumaracoil, Kanyakumari, Tamil Nadu 2023 onwards
• M.Tech in Computer Science and Engineering from APJ Abdul Kalam Technological University, Thiruvananthapuram in 2020.
• B.Tech in Computer Science and Engineering from Mahatma Gandhi University,Kottayam, in 2018.

• Assistant Professor at MBITS Engineering College from July 2023 onwards
• Lecturer at Govt. PolyTechnic College, Kothamangalam  for 6 months

• Assistant Professor at MBITS Engineering College for 11 months

•  Rosna P Haroon, Dr.Barakkath Nisha U,Linchu A M, Dr.Arun E. “Deep Learning based Interlingua representation for Malayalam documents,” in IEEE International Conference for Innovation in Technology (INOCON) 2020

Conferences

• Rosna P Haroon, Barakkath Nisha U, Linchu A M, Arun E,” A Deep Learning based Interlingua Representation for Malayalam Documents” in the IEEE International Conference for Innovation in Technology (INOCON), November 2020, Bangluru
• Basil Rarichan,Bonny Vincent,Sanjana Sunil, Linchu A M, “AI  for Early Chronic Kidney Disease Diagnosis” in the National conference on Interdisciplinary Perspectives of Emerging Trends in Computing (NCIPETC – 24), April 2024, CCET, Alappuzha

Workshops

• Participated in 2 days Hands–on Workshop on “Machine Learning using Python” at Mar Baselios Institute of Technology and  Science , Kothamangalam in 2023.

FDP Attended

• Attended 5 days Faculty Development Program on “Recent Trends in Cloud Computing and IoT” at Mar Athanasius College of Engineering , Kothamangalam in 2024.
• Attended 3 days Faculty Development Program on “Intelligent Connections: Exploring the Synergy of AI and IoT Devices” at Mar Baselios Institute of Technology and  Science , Kothamangalam in 2023.
• Attended 30 hours Faculty Development Program on “Mathematics for Machine Learning” sponsored  by the APJ Abdul Kalam Technological University , Thiruvanathapuram in 2021.

• B.Tech project on “AI  for Early Chronic Kidney Disease Diagnosis” in 2024