Qualifications
Ph.D. (CSE
Areas of interest
Artificial Intelligence (AI) in Food Science and Technology, Institutional ERP application development, Digital platforms for farmers and MSMEs, Conference and event website development, and IT support services & their automation using AI
Expertise
Artificial Intelligence (AI) in Food Science: Deep learning models for predicting and optimizing fermentation and enzyme processes; multi-output prediction; AI-guided design of experiments.
Computer Vision & Spectral Analytics: CNN, CNN-LSTM and 2D-CNN models for image-based analysis and FT-NIR spectroscopy-based adulteration detection; medical image segmentation (Ph.D.).
Full-Stack Web Development: Institutional MIS, portals and platforms built on PHP, MySQL and Apache.
IT Services & Governance: Network access, institutional IT workflows, ISO/EMS & ISO-QMS documentation.
Tools: Python (TensorFlow/Keras, scikit-learn, pandas), PHP, JavaScript, jQuery, Ajax, HTML, CSS, MySQL
Awards and recognition
Recognition
- Appreciation for developing the SMECorner platform, recognized by CSIR and featured in CSIR News, December 2017
Qualifying Examinations
- UGC-NET (National Eligibility Test) for Assistant Professor, 2015
- KSET (Karnataka State Eligibility Test) for Lecturer / Assistant Professor, 2014
- GATE (Graduate Aptitude Test in Engineering), 2014