- Developed AWS-hosted API tool that identifies optimal PV and Battery Energy Storage Systems for residential customers in regions with complex tariff structures eg. California's NBT. Tool finds optimum configuration based on roof details, shading, tariff structure and available financing options.- Developed algorithms for simulate optimal battery dispatch to minimize electricity bill.- Used python and third-party APIs to develop software tools to retrieve data from large numbers of residential solar systems and perform batch customized analysis, data checks, and fault-finding- Modeling and data analysis to identify opportunities to improve efficiency of products- Provide technical assistance to Sales Team or directly to customers when needed.- PV and Battery performance modelling using SAM, pySAM,PVSyst, pvlib (python)- Analysis of large and complex datasets using python (esp. pandas, numpy)

- Design of complex hardware and software tools, primarily using Python. - Advanced data analysis- Techno-economic modeling of solar energy systems and plants. - Planning and design of product performance and reliability tests- Lead outdoor testing activities of PV panels, company-wide. System hardware and software design.

- Developed hardware and software tools (instrument control and data analysis performed using Python)- Developing techniques for accurate measurement of high effiiciency solar cells.

- Design and development of complex hardware and software tools (Python and LabVIEW) for high-accuracy PV cell performance measurements. - Achieved ISO-17025 accreditation for laboratory. Co-ordinated international round-robin comparisons.- Global leadership on state-of-the-art high-accuracy PV measurement

- Techno-economic modeling of hydrogen generation.- Benchmarking of IAEA-developed software tools.

-Finite element simulations using Matlab and COMSOL-Device characterization, materials characterization-Developed highly absorbing thin-film organic solar cells