Aras Raiani

DynaChrg is a technology company focused on intelligent EV charging and energy management platforms designed for grid-connected, multi-site infrastructure. We build software-defined solutions that enable Charge Point Operators (CPOs), fleets, and energy-intensive properties to deploy and operate EV charging at scale — while optimizing energy costs, grid interaction, and operational performance. At the core of DynaChrg is an integrated platform that combines EV charging control, energy optimization, and transaction management into a single, enterprise-grade system. Our technology is designed to be grid-aware from day one, allowing operators to dynamically manage load, respond to demand constraints, and align charging behavior with real-time energy conditions. DynaChrg supports complex operating environments through hierarchical controls, role-based access, and multi-tenant management — enabling everything from individual sites to large, geographically distributed charging networks to be managed from a unified platform. In addition to platform software, DynaChrg enables flexible deployment models, including zero-upfront-cost infrastructure programs, integrated billing and payments, and utility-aligned energy optimization strategies. This allows operators and property owners to scale EV infrastructure without introducing operational or financial complexity. DynaChrg is built for organizations that require more than basic charger monitoring — delivering a utility-grade foundation for the next generation of EV and energy infrastructure.

3Insys was the foundational enterprise platform where I built and deployed utility-grade integration, automation, and energy management systems for mission-critical environments. At 3Insys, we worked closely with utilities and energy operators to solve complex IT/OT integration challenges, connecting systems such as SCADA, OMS, DERMS, AMI, and enterprise applications to enable real-time data flow, operational automation, and grid modernization initiatives. The company focused on delivering secure, scalable integration platforms and intelligent energy solutions that supported grid reliability, demand response, renewable energy integration, and regulatory compliance across utility operations. The architectural principles, reliability standards, and grid-first design approaches developed at 3Insys directly informed the technology foundation behind DynaChrg — particularly in areas of system resilience, hierarchical control, data orchestration, and enterprise-scale operations. While 3Insys continues to operate independently, my current focus is fully dedicated to scaling DynaChrg as a next-generation platform for intelligent EV charging and energy infrastructure.

Led the strategy, design, and delivery of large-scale Demand Response and AMI/Smart Grid software solutions for utility clients. Oversaw multiple end-to-end product lifecycles, including product definition, system architecture, development, testing, deployment, and ongoing operations. Worked closely with utilities to solve complex operational and grid-level challenges through software-driven energy intelligence. Managed cross-functional engineering teams and major utility programs with a combined project value exceeding $35M, delivering scalable platforms supporting demand response, grid optimization, and utility operational efficiency. This role deepened my expertise in utility-scale systems, grid operations, and mission-critical software — forming a core foundation for my later work in grid-integrated energy platforms.

Led the technical architecture, data modeling, and system design of large-scale Demand Response and Smart Grid platforms for utility clients, including the Department of Water and Power. Key engineering responsibilities included: Designing end-to-end Demand Response system architectures, including control loops, event orchestration, and real-time signal processing Defining and modeling data flows across utility systems using system context diagrams and interface specifications Designing relational and analytical data models for Demand Response data repositories Developing and testing integration interfaces between multiple enterprise and operational systems Supporting implementation of automated Demand Response platforms based on OpenADR Contributing to load forecasting, analytics, and decision-support systems used for grid operations Supporting testing, validation, and deployment of enterprise analytics platforms for real-time and historical energy data This role provided deep hands-on experience in distributed energy systems, data-driven grid operations, and large-scale system integration — forming a technical foundation for later work in utility-grade energy platforms and intelligent EV infrastructure.

Conducted applied research within the Intelligent Robotics Group (IRG) at NASA Ames Research Center, focusing on autonomous robotic systems, perception, and intelligent operation in unstructured environments. My work supported research and technology development for NASA’s planetary and surface robotics programs, including contributions to the K-10 rover and the SEV (Space Exploration Vehicle) rover programs. Research activities included: Development and evaluation of algorithms for autonomous navigation and operation in unknown and dynamic environments Contributions to 3D mapping and terrain reconstruction using multi-sensor data Research on sensor fusion and calibration, including multi-LiDAR systems for robotic perception Analysis and implementation of surface registration algorithms using numerical and optimization methods Supporting field experiments and test campaigns used to validate intelligent robotic behaviors for exploration, monitoring, and terrain scanning This research contributed to NASA’s broader efforts in advancing intelligent robotics, autonomous exploration, and human-robot interaction for future space and planetary missions, while establishing a strong foundation in applied machine learning, robotics perception, and autonomous systems.

Conducted scientific research in human-robot interaction (HRI), socially assistive robotics, and intelligent robotic systems as part of USC’s Interaction Robotics Lab, collaborating with Ph.D. students, post-doctoral researchers, and faculty on federally and institutionally funded research programs. My research focused on the design, implementation, and evaluation of robotic systems that assist, assess, and motivate human users, particularly in healthcare, rehabilitation, and assistive applications. Research contributions included: Design and implementation of robotic software systems for post-stroke physical assistance and assessment Development of experimental protocols for socially assistive robotics as cognitive and social aids Application of statistical methods for behavioral data analysis, sensor data interpretation, and experimental validation Design of data acquisition, management, and quality-control pipelines for human-subject experiments Collaboration on wearable sensing, motion analysis, and multimodal human-robot interaction architectures Participation in system integration, hardware/software configuration, and experimental deployments I contributed to multiple peer-reviewed journal articles, conference papers, technical reports, and graduate theses, published through IEEE, AAAI, HRI, ICRA workshops, and leading robotics and human-computer interaction venues. This work established a strong foundation in scientific robotics research, experimental design, AI-driven perception, and human-centered autonomous systems, which later informed my work in intelligent infrastructure, energy systems, and large-scale platform architecture.