Prashant Anand Srivastava is a respected Software Development Engineer known for his leadership in artificial intelligence, robotics, and scalable application development. As a founding member of Dyna Robotics, he has shaped advanced robotic systems through robust data infrastructure and AI model training. His work at Amazon and Cisco illustrates his ability to combine technical depth with strategic execution, establishing him as a key innovator in autonomous technologies. With a focus on future-ready solutions, Prashant consistently applies emerging technologies to solve real-world problems, positioning himself as a forward-thinking leader at the intersection of engineering and intelligent automation.
Early Life and Academic Foundation
Prashant built a strong academic foundation with graduate degrees from top institutions. He earned his Master of Science in Computer Science and Engineering from the University at Buffalo, SUNY in 2015. Before that, he completed a Master of Science in Information Systems from BITS Pilani in 2013.
These academic experiences developed his analytical thinking and technical skills, preparing him for complex engineering challenges. His exposure to both theoretical and applied computer science laid the groundwork for future contributions in AI and robotics. His education emphasized problem-solving, algorithmic design, and hands-on development—skills that continue to shape his engineering approach today.
Professional Journey
Cisco Systems (2015–2016)
At Cisco, Prashant contributed to platforms like Remote Expert and Virtual Connect. He implemented scalable collaboration systems and built Java-based frameworks to simulate high-traffic scenarios. His automation work simplified onboarding processes in the Cisco Service Delivery Platform.
Amazon Prime Video (2016–2017)
Prashant joined Amazon.com in Seattle, where he worked on Prime Video’s backend infrastructure. He developed a reusable catalog data provider and a VPN detection system to enhance global content security and availability.
Amazon Lab126 – Astro Robot (2017–2024)
At Amazon Lab126, Prashant served as the technical lead for the Floor Plan team on the Astro household robot project. He created image processing algorithms for autonomous navigation and voice enabled room labeling. He also integrated large language models (LLMs) like Amazon Bedrock, combining text and image understanding for a better user experience.
Dyna Robotics (2024–Present)
As a founding team member at Dyna Robotics, he designed data pipelines that power machine learning for robotics. His work enables real time sensor data processing and supports the development of next generation robotic systems.
Leadership and Innovation
Prashant is a hands-on leader with an architecture focused approach. He guides teams through complex engineering efforts and encourages collaboration across hardware, software, and AI. His work on Astro demonstrates this blend, delivering intuitive systems grounded in user needs.
His initiative to adopt language models shows his focus on practical innovation. By implementing multimodal AI features, he created intelligent, user-friendly interfaces. He empowers teams to push the boundaries of innovation by fostering a culture of experimentation, design thinking, and continuous learning.
Notable Achievements
- Patent Holder: His patent for a Floor Plan Update System enables robots to adapt to changing environments.
- Cisco Awards: Multiple recognitions during his Cisco tenure reflect consistent performance.
- LLM Integration: At Amazon, he helped develop applications powered by large language models to improve customer experiences.
Academic Contributions
Prashant has contributed to the tech community with patented innovations. These accomplishments demonstrate how academic research in image processing and spatial mapping can become real world solutions.
His work merges theoretical insights with practical engineering, enabling AI driven platforms to function in everyday environments.
Future Vision and Impact
Prashant’s journey continues at Dyna Robotics, where he focuses on intelligent systems driven by real time learning. His approach supports both home and industrial applications, making AI more accessible, scalable, and adaptable across varied environments and user needs.
With a clear vision for usability and performance, he is shaping the future of smart systems. His work defines the standards for how AI can improve daily life. He envisions a future where collaborative robotics and intelligent interfaces work seamlessly together to enhance safety, efficiency, productivity, and overall quality of life.
In summary, Prashant Anand Srivastava represents the future of engineering leadership. His journey blends innovation, execution, and vision, offering a model for building impactful technology in a fast evolving world.
