On April 2021, I completed my PhD in Computer Science. My dissertation took an in depth look with experts’ interactions with lots of understanding from Senior Professors, Scientist and my colleagues. I hold more than 19+ years of experience, currently working as Principal Scientist with 5+ years of research experience in building data-intensive applications, complex architectural and scalability issues in multi-disciplinary real-time applications. Around 15+ years of experience in software industry with expert knowledge of scientific/technical principles & concepts, Lead and facilitate meetings and provide progress tracking and updates to leadership, proficient in predictive modelling, data processing, data mining algorithms, as well as scripting languages python, C#, HTML5, PHP OOP, JavaScript, CSS, MySQL. Experienced with all stages of the development cycle for dynamic web application projects and Strong background in project management, Database Management and customer relationships.
Research Publications:
Published over 17 research papers in peer-reviewed Cloud Computing, GIS and Quantum Computing. Amongst them, I have authored 14 papers and published impactful results in top rated scholarly journals such as Nature Springer, IEEE, Elsevier as well as in top-tier IEEE and Elsevier conferences.
Research Grants
• Received Research fund of Rs. 3 lakhs for the project entitled “IFRT- Innovative fertilizer recommendation for Tumkur district using computerized kiosk system” from ICT Skill Development Society, Department of IT, BT and S & T, Govt. of Karnataka, New Age Incubation Network(NAIN) in the year 2016.
• Grant received of Rs. 21,00,000/- from RKVYY from University of Agricultural Sciences, GKVK, Bangalore for the project titled “Development of web application for online Fertilizer Recommendation through STCR approach for 10 districts of Karnataka”.
Achievements:
The research project entitled as “web-based online fertilizer recommendation system” was inaugurated by honorable Chief Minister Shri H.D. Kumaraswamy during Krishi Mela held at UAS, GKVK, Bangalore on 18th November 2018. This solution can be utilized for all the districts of the country for fertilizer recommendations based on STCR targeted yield approach by using the STCR targeted yield equations developed in each state in coordination with ICAR-IISS, Bhopal. Proposal for extending the work to all the districts of the state has been submitted in coordination with GKVK. https://icar.org.in/content/web-based-fertilizer-recommendation-system-through-stcr-approach-coupling-geo-referenced.