The mind behind Querent, Puneet is an innovative and astute technologist with over 14 years of experience developing machine learning and AI solutions, specializing in advanced analytics and engineering research. With a Master's in Applied Geophysics, Puneet is a lead engineer at Frequency Protocol, where his work focuses on developing privacy-preserving blockchain architectures and decentralized data distribution.

Before joining Frequency, Puneet worked in the energy sector at SLB and Shell, where he led projects for distributed message-passing systems and was recognized for innovation. To date, Puneet has authored five peer-reviewed journal articles, five conference publications, and holds one patent.

Audrey is a dynamic technology leader with over 15 years of experience in design, education, and IT change management. As the Director of Instructional Technology at IDEA Public Schools, she drives organizational transformation by leading cross-functional initiatives that enhance technology adoption across the network of 143 charter schools in 4 states.

Specializing in human-centric design and creative problem-solving, Audrey focuses on leveraging technology to create business value and improve user experiences. Certified in ITIL, Microsoft Service Adoption, and Change Management, she transitioned from the classroom to leadership, where she now implements innovative technologies and process automation to achieve strategic goals.

Nishant is an accomplished AI Architect with over 12 years of expertise in machine learning and data science. Holding a Master's in Applied Geology and having completed highly-competitive internships at UC Irvine and NASA's Jet Propulsion Lab.

Nishant began his career in the energy sector with SLB before advancing into business process automation roles at the Royal Bank of Canada and Home Trust Company. While working for RBC, Nishant also taught data science at inTellee College. Before leaving North America, he worked for Metrolinx, where he collaborated with Microsoft to implement their Center of Excellence toolkit into Ontario's public transportation system.

Ansh Joshi is a recent LPU graduate and promising software developer with a robust foundation in backend development and an expanding full-stack skill set along with machine learning and AI. Ansh is proficient in Golang, Python, Rust, and Svelte, with expertise spanning cloud engineering, backend and frontend development and machine learning.

Ansh’s professional experience includes a backend development internship at an edtech startup, where he streamlined backend operations. At Goplus, he further honed his backend skills while integrating AI technologies into the platform and managing the company's AWS-based cloud infrastructure. His hands-on approach and adaptive learning make him an asset to our innovative team.