I am a Senior AI/ML Engineer at Adobe, working on a new product that blends the capabilities of tools like Cursor with an infinite, interactive canvas. I contribute across the entire application stack: the frontend is a physics-based rendering engine that runs entirely in the browser, and the backend is powered by a large LangGraph-driven AI model. I built major portions of the backend model pipeline, including the agent orchestration and the full testing framework for evaluating agent behavior over time. On the frontend, I’ve worked extensively on the rendering pipeline, implementing smooth graphical effects, animations, and performance-critical visual features. Outside of industry, I remain deeply involved in robotics, autonomy, and hands-on engineering. I founded the Lehi Experimental Aerospace Program (LEAP), a National Association of Rocketry chapter where I help new members design, build, and certify high-power rockets. As part of this work, I design custom avionics hardware, including dual-deploy flight computers, sensor-fusion pipelines, and multi-core RP2040-based controllers optimized for high-G and high-speed flight. My personal research explores robot learning, autonomous control, and physics-aware neural architectures. I frequently work on projects involving reinforcement learning, decision transformers, manipulation environments, and fast simulation-to-real pipelines. Much of this research draws on my previous work at Northeastern University with professors Robert Platt and Rajagopal Venkateshwara, where I focused on efficient navigation, equivariant perception, and scalable AI training systems. When I’m not working on AI or robotics, you’ll usually find me building rockets, prototyping custom drones and flight computers, or working on 3D-printing and electronics projects. I also love exploring the outdoors, especially cycling in and around the mountains.

In my spare time, I enjoy working on robotics and 3D printing projects. Some of the projects I've built include robotic arms, various types of electric bicycles, and 3D-printed drones, boats, and aircraft. Additionally, I’m passionate about outdoor activities, particularly cycling.

• Teaching Assistant at Northeastern University, CS4100 (Foundations of Artificial Intelligence), Spring 2024.
  
• Teaching Assistant at Northeastern University, CS4100 (Foundations of Artificial Intelligence), Summer 2024.
  
• Teaching Assistant at Northeastern University, CS5100 (Foundations of Artificial Intelligence), Fall 2024.
  
• Teaching Assistant at Northeastern University, CS5100 (Foundations of Artificial Intelligence), Spring 2025.
  

• Ashwin Bharadwaj, Anio Zhang, Rajagopla Venkat. Shapeshifting Coloring Problems: An Interactive Tiling Assignment AAAI/EAAI 2025.
  
• Anio Zhang, Ashwin Bharadwaj, Rajagopal Venkatesaramani. Escape the Castle: Estimate the behaviour using MDP problem. AAAI/EAAI 2025.(Awaiting publication)
  
• A. R. Bharadwaj, Anio Zhang, “Efficient Inverse Kinematics for High-DoF Robots: A Kolmogorov-Arnold Network Approach”, Northeast Robotics Colloquium (NERC), Amherst, USA, 2024.
  
• A. R. Bharadwaj, S. S. Chandra, D. S. Nair, A. R. Hatim and A. Ravikumar, “Automated Mythological Scene Recognition using Machine Learning and Graphs”, 2020 International Conference on Artificial Intelligence and Signal Processing (AISP), Amaravati, India, 2020, pp. 1-5, Jan 2020.
  
• Ashwin R. Bharadwaj, Hardik Gourisaria, Hrishikesh Viswanath, “Video Frame Rate Doubling Using Generative Adversarial Networks”, Computer Communication, Networking, and IoT (ICICC 2020), Bengaluru, India, Aug. 2020.