
Jinu L
Assistant Professor – Computer Science, AI & ML
About Me
I’m an experienced educator and analyst with a passion for leveraging technology to solve real-world problems and empower others through clear, hands-on learning. I continuously pursue professional development to stay current with the latest technological trends and deliver innovative solutions.
Academic Background
Career Timeline
2022 – Present: Assistant Professor, College of Engineering Kottarakkara
Over these years, I have developed and delivered graduate-level theory and laboratory courses, integrating hands-on coding demonstrations to enhance learning outcomes. I design assessments, curate course materials, and mentor students to foster both academic growth and practical skills.
2011 – 2019: Data & Operations Analyst Across Multiple MNCs
Over the eight years, held progressive analyst and management roles specializing in data analytics, payroll administration, and enterprise software operations. Leveraged AI & ML to automate workflows, improve data accuracy, and optimize HR processes—demonstrating deep expertise in software-driven decision-making.
Certifications
Completed the 'AI For All' certification program by the Ministry of Education and Intel.
Completed Google Cloud’s 'Introduction to Generative AI' course and earned a digital skill badge.
Roles & Expertise
Member, Examination Cell – Oversee university and internal exam schedules, manage logistics, and coordinate all related proceedings.
Member, KTU Committee – Liaise on university regulations, ensuring timely updates and completion of institution-level requirements.
Member, Placement Cell – Drive career-readiness initiatives, industry outreach, and student placement support.
Member, Grievance & Welfare Committee – Advocate for student welfare, address concerns, and implement fair policies.
Assistant Coordinator, National Skill Development Corporation (NSDC) – Coordinate and implement skill development initiatives, liaising with industry partners to ensure program quality and compliance.
Syllabus setter, BCA – Served as syllabus setter for multiple BCA (Hons) courses in the 2024 scheme, developing aligned objectives, outcomes, and assessment frameworks to support project-based learning.
Professional Development & Publications
Faculty Development Programs (FDPs)
Jan 2025 - ATAL FDP on Next-Gen AI: Innovations in Machine Learning, Deep Learning, and Generative Models.
Dec 2024 - ATAL FDP on Entrepreneurial Strategies for Success in the Emerging Blue Economy.
Jan 2024 - ATAL FDP on AI-Driven Semiconductor Technology.
Aug 2023 - FDP on Blockchain and Security in Computing.
Mar 2021 - FDP on Exploring Image Processing and Computer Vision using Python.
Conferences
Dec 2024 - International Conclave on Generative AI and the Future of Education 2.0.
Oct 2023 - International Conclave on Generative AI and the Future of Education.
Publications
Authored the chapter “Virtual Tutors and Classroom Assistants” in the national-level volume Generative AI and Future of Education in a Nutshell (ISBN: 978-93-6039-019-8).
Ongoing Projects
Application of Digital Twin in Computational Photography - Developing real-time virtual replicas of imaging systems to simulate, optimize, and enhance photographic workflows.
Authoring a Children’s Book on AI & ML – Crafting an engaging, age-appropriate introduction to artificial intelligence and machine learning concepts