About Me - Intuitive Tutorials

Dr. Sajil C. K.

ML engineer and educator building Malayalam AI that runs on low-cost devices.

I work on speech and language AI for Malayalam, and on machine learning for small, resource-constrained hardware. I also teach. I have trained 200+ engineers in machine learning, deep learning and GenAI, and I run a Malayalam YouTube channel on ML and data science.

What I’m working on

Malayalam speech recognition: a fine-tuned Whisper model with a leakage-free benchmark (31.2% WER, 4.0% CER). Model | Demo | Blog series
Malayalam text-to-speech: VITS and F5-TTS voice models. VITS | F5-TTS
Malayalam Voice Assistant: speech recognition, language model and speech synthesis running together on a CPU. Try it

Experience

ML Engineer & Educator (Knowledge Officer), ICT Academy of Kerala, Thiruvananthapuram (10/2024 – 06/2026)
Trained 200+ engineers in ML, DL, Data Science and GenAI. Organised seminars, workshops, hackathons and FDPs for academic, government and industry audiences. Built a fine-tuned GPT-2 FAQ chatbot for the organisation’s website.
Research Assistant (IoT), ICFOSS, Government of Kerala (10/2023 – 10/2024)
Led the ML work for Kerala’s first IoT acoustic rain gauge (15% MAPE) and built its edge ML pipeline. Published at IEEE RAICS 2024.
Data Scientist, GenterpretR LLC (06/2022 – 01/2023, remote)
Built ML models for clinical outcome prediction and bioinformatics pipelines for precision oncology.
Project Associate, IIT Madras (04/2021 – 07/2021, remote)
Research on active learning, and a proof of concept for stock-market fraud detection.
Machine Learning Consultant, Sequoia Applied Technologies, Technopark, Thiruvananthapuram (09/2019 – 12/2019)
Data Science Fellow, Insight Data Science, Toronto, Canada (05/2019 – 08/2019)
Research Scholar, University of Kerala, Thiruvananthapuram (02/2014 – 02/2019)

Education

Ph.D., Computational Biology and Bioinformatics, University of Kerala, Thiruvananthapuram (02/2014 – 02/2019)
M.Sc. Applied Electronics, Mahatma Gandhi University, Kottayam, Kerala (06/2007 – 12/2009)

Teaching and talks

Resource person, Mastering MLOps: A Complete Lifecycle Approach, 5-day online programme, Department of Computer Science, University of Kerala (Feb 2026)
Introduction to LaTeX, two-day online FDP on Productive Tools for Researchers, organised by A2Z EduLearningHub and SNGIST Arts & Science College, Kochi (31 Oct – 1 Nov 2020)
Introduction to LaTeX, four-day training programme on LaTeX, Government Engineering College, Barton Hill, Thiruvananthapuram (23–24 Nov 2018)
Introduction to Python & Machine Learning, Open Source Tools for Research (OSTR 2018), Government Engineering College, Barton Hill, Thiruvananthapuram (9 Feb 2018)
Introduction to Machine Learning, ICTAK Academy, Technopark, Thiruvananthapuram (13 & 20 Jan 2018)

Publications

Edge Analytics Enabled Acoustic Rain Gauge, IEEE RAICS 2024
Role of Acoustic Properties in Biomedical Active Noise Control, IJBCE, 2020
Temporal VEGFA Responsive Genes in HUVECs, Journal of Cell Communication and Signaling, 2019
Effect of Transducer Positioning in Active Noise Control, IEEE SPIN 2018

Full list on Google Scholar.

Honors & Awards

Insight Data Science Fellowship, Toronto, Canada (2019)
NGBT GYAN Scholarship, Nextgen Genomics, Biology, Bioinformatics and Technologies Conference, Jaipur (2018)
Senior Research Fellowship, University Grants Commission, India (2012)

Work with me

I offer hands-on training, workshops and FDPs on MLOps, PyTorch, edge ML and GenAI, and I take on Malayalam speech AI projects. See the Training page or write to sajilck@gmail.com.