Gunja Pandav, PhD

-Product Manager for enterprise AI solutions spanning computer vision, anomaly detection, and natural language processing, catering to industrial clientele. -Gather customer feedback, contribute to proposals, provide input to product pricing, and help drive customer adoption. -Drive product strategy and roadmap planning, considering market trends and customer feedback. -Collaborate with engineering and design teams to prioritize features and define user stories. -Define and monitor key performance indicators (KPIs) to measure product success. -Lead the end-to-end product development process. -Present product updates and roadmap plans to stakeholders in a clear and concise manner. -Collaborate with sales and marketing teams to develop go-to-market strategies and support product launches.

• Product Manager for OSIsoft’s $10M data ingress product line, enabling data collection from industrial devices, IoT devices to on-prem PI System and cloud. • Expertise in taking customer requirements and problems and developing products that are innovative, functional, successful and enables customer value. • Engaged with multiple concurrent agile development teams as product owner to deliver 2 new releases and 3 products with major new features. • Produced clear and thorough feature requirements for OSIsoft’s data ingestion framework to ingress data from OPC UA, Modbus, DNP3, BACnet, and MQTT devices. • Experience working with OEM's and Partners to create and deliver a commercial offering.

• Engaged with customers and delivered solutions for 300+ technical support cases. • Collected requests and requirements for enhancements of products. • Developed and maintained in-house workforce management web application based on ASP.NET MVC for OSIsoft’s global support team of over 300 engineers. • Used LINQ in C# to create internal software tools at OSIsoft for migrating data between production SQL servers.

• Developed and implemented computationally efficient algorithms to simulate multibody effects in polymer-nanoparticle systems. • Developed codes to implement simulation techniques such as bond fluctuation Monte Carlo, self-consistent field theory, single chain in mean field simulations, and self-consistent Brownian dynamics. Implemented finite difference methods and pseudospectral method to solve diffusion equations. • Used OpenMP and MPI to simulate large scale (~1 million particles) coarse-grained polymeric systems on a 6400 node cluster at TACC. • Published findings in nine peer-reviewed papers and presented results at international conferences. • Developed winning parallel implementation of the given serial programs using MPI, OpenMP and CUDA in a fixed time period during TACC-BP Parallel Computing Competition.

• Performed emulsion and hydrate rheology experiments and analyzed the data using prevalent viscosity models in literature. • Developed a correlation between averaged shear rates and angular velocity for the implemented experimental geometry through CFD simulations using Ansys Fluent.

P&ID making and mark-up, line hydraulics calculations, generating equipment data-sheets, instrument data sheets, interlock description, operating manual, updating stream list.