Spearheaded a team of 7 researchers, and 10 software programmers, both in-house and off-shore, to design and co-develop cloud computing solutions for health analytics from face video and brain training games; comprising AWS, Matlab MCR, and Angular/Yii based CMS dashboards, and mobile app view (Android/iOS). Essentially involved in the conception, data acquisition (clinical: epilepsy, ADHD, dementia, dyspraxia, dyslexia, OCD, anxiety, stress, brain injury, brain tumor, and non-clinical: workplace stress, memory, attention, cognition), noise/artefact removal, data analysis, feature extraction, statistical analysis, feature selection, modeling, and neurofeedback. Developed the initial minimum viable product (MVP) based on analytical results from data processing pipelines. Trained the software programmers and handed over the MVP to them to further develop and update in order to commercialize the big data health analytics product. Track your mental health at brain9d.com and as a Brain9D mobile app.

Directed the product development cycle and developed data pipelines, from conception to market ready, for QEEG Software Suite deployed using Matlab MCR for research and clinical use; became one of the flagship consulting service products of CISIR-HICoE, comprising of a version for researchers and another for clinicians. The product showcases complete in-house contribution of 10 researchers assisted by 10 software programmers. Principally involved in the concept to launch, mentored the researchers and programmers hands-on throughout the implementation and deployment process Utilizing total grant money of US$ 50K approx. An estimated profit of US$ 50K – US$ 100K per quarter; sales start in 2020.

Managed project scope, goals, designed proof of concept (PoC/MVP), defined project milestones and to ensure consistency with CISIR and collaborators’ (UniTen + SESB: Sabah Electric Supply Berhad, Malaysia) strategy and commitments for a product (VegMon: A deep learning based forest vegetation monitoring system to detect their encroachment over electric power lines using satellite/drone imagery). Assisted the primary researcher in algorithm optimization, accuracy improvement using convolutional neural networks (CNN), final product implementation, patent filing, and scientific publications. Designed, trained the team, and co-developed the final user interface and functionality testing. The project was funded by the ministry of energy green technology and water (KeTTHA), Malaysia. Net spending over this huge project was US$ 100K, and the product was delivered on time. Won Gold medal at 27th International Invention & Innovation Exhibition (ITEX 2016) held in Kuala Lumpur Malaysia.

Co-developed a product (using Java and MS SQL Server) called jobFactory, a big data analytics solution for Walmart shelf management, consumer packaged goods, and item rotation based on customer interest and inventory, outsourced to Fusion Technologies (former name of EnterpriseDB) by IRi (US$ 300K).