Nirmalya Roy is a Professor at UMBC cofounder and COO of AUI SENSE, directing the Mobile, Pervasive, and Sensor Computing (MPSC) Lab, with expertise in pervasive computing, wireless sensor networks, and smart environments. His research focuses on AI-driven activity recognition, energy-efficient monitoring, and sensor-driven decision-making for healthcare and smart infrastructure.
Bipendra Basnyat, P.E. PhD, is the CEO of AI SENSE and an Adjunct Assistant Professor at UMBC, specializing in AI-driven solutions for Climate Smart AI and sustainable ecosystem management. With over two decades of experience, he has led AI/ML initiatives at Deloitte, Xerox, and UnitedHealth, and developed the innovative FloodBOT project for urban flood risk management.
Snehalraj serves as Technical Lead & Founding Engineer at AI SENSE at overseeing the full technology stack across backend, frontend, and edge systems. He drives the integration of AI/ML models with cloud and hardware infrastructure, ensuring seamless system performance. With a strong focus on scalability and innovation, Snehalraj manages all core technical operations that power AI SENSE’s solutions.
Pahal is a Project/Product Management Intern at AI SENSE, supports coordination across technical and business teams. She assist in tracking deliverables, aligning timelines, and documenting project milestones and bridges product requirements with execution to ensure smooth progress on AI SENSE initiatives. In addition, Pahal also serves as the lead intern coordinator, helping organize tasks and communication across the intern team.
Elijah is the lead hardware engineer at AI SENSE, architecting the IoT infrastructure and sensor networks that power our systems. He leads design, encasing, and manufacturing of custom hardware components for field deployment. His expertise ensures rugged, reliable devices that integrate seamlessly with AI SENSE’s software and cloud platforms.
Nirupam Roy, Ph.D., is an Assistant Professor in the Department of Computer Science at the University of Maryland, College Park, and Director of the iCoSMoS research lab, where he advances wireless networking, mobile computing, and acoustic sensing. His research spans IoT, localization, and soundfield control — expertise directly relevant to adaptive wildlife deterrence. Dr. Roy serves as Principal Investigator on the UMD subcontract under NSF SBIR Phase I Award #2507344, providing technical guidance on the design of acoustic deterrence systems for AI SENSE LLC’s AI CoExist platform.
Anuradha Ravi, Ph.D., is a Research Assistant Professor at the University of Maryland, Baltimore County (UMBC), where she mentors graduate students and conducts research in edge AI, federated learning, and networked systems. Dr. Ravi serves as a voluntary Senior Research Advisor to AI SENSE LLC, guiding research direction, quality control, and R&D strategy to shape the company’s innovation pipeline and future research outlook.
Travis Gallo, Ph.D., is an Assistant Professor of Urban Ecology and Conservation in the Department of Environmental Science & Technology at the University of Maryland, College Park. His research examines how urban environments influence species distributions, populations, and behaviors — work that sits at the heart of human–wildlife coexistence. Dr. Gallo serves as a part-time Senior Consultant to AI SENSE LLC, providing expert guidance on wildlife ecology and ensuring that the AI CoExist platform’s deterrence strategies are grounded in evidence-based conservation science.
Specialist in climate-smart agriculture, sustainability practices, and regenerative farming. Experienced in global agricultural policies.
Experienced in startup growth, fundraising, market expansion, and business operations. Has guided multiple successful early-stage ventures.
Building Our TechnologyBuilding Our Technology
Developing our cloud infrastructure and AI/ML to Agentic AI & Automation.
Growing Talent
Leading our machine learning and computer vision initiatives. Expert in TinyML and edge computing.
Founding member for our Edge Devices, he was one of the first members to have started working on the vision of AISense. He leads in Computer Vision and various AI Algorithms for Edge Devices
Be Part of the Nature Inspired AI Empowered Innovation
We’re always looking for talented individuals who are passionate about combining AI with sustainable climate-smart AI. If you’re excited about making a difference in AI & Ag Tech sector, we’d love to hear from you.
Current open positions: