Robotics and Automation Engineer
Building intelligent systems that bridge the gap between theory and application.
I build intelligent robotic systems that bridge the gap between simulation and reality. My work focuses on developing autonomous robots using reinforcement learning, advanced control systems, and physics-based simulation—then deploying them in real-world industrial environments.
Currently pursuing my Master's in Mechatronics, Robotics, and Automation Engineering at Arizona State University (GPA: 3.78/4.0), I specialize in:
MuJoCo-based locomotion, RL policy training (JAX/PyTorch), sim-to-real transfer
Model Predictive Control, inverse dynamics, torque control, Kalman filtering
PLC programming, SCADA, IIoT architectures (MQTT, OPC UA), warehouse robotics
Object detection, depth reconstruction, reinforcement learning for manipulation
Robotic Systems I & II, Mechatronic Systems, Experimental & Deployment of Robotic Systems, Industrial Internet of Things, Foldable Robotics, PLC Programming & Industrial Robotics
My approach combines rigorous physics simulation with practical deployment experience. Whether I'm training quadruped gaits in MuJoCo or integrating industrial robots on factory floors, I focus on building systems that work reliably in production. I'm passionate about making autonomous robotics accessible and practical for real-world applications.
I'm actively seeking opportunities in robotics R&D, industrial automation, and AI-driven manufacturing where I can contribute to building the next generation of intelligent robotic systems.
A cutting-edge robotic quadruped inspired by natural locomotion.
Physics-based 3D scene reconstruction using a robotic arm with an end-effector depth camera in MuJoCo.
Bio-inspired four-bar linkage walking robot fabricated using foldable laminated structures and validated through MuJoCo physics-based simulation and hardware experiments.
Dynamic vision-based UAV landing system using real-time line tracking.
Hackathon-winning automation project for handling sequencing devices.
Voice-controlled integration of TurtleBot and MyCobot for intelligent mobile manipulation.
FarmPet: A cable-driven parallel robot designed for precision agriculture applications.
Autonomous robotic arm using IK and CV to solve physical mazes.
Smartphone sensor-based classification of human physical activities using ML.
Concentration in Systems Engineering
GPA: 3.78/4.0
GPA: 8.73/10.00
International Journal for Research in Applied Science & Engineering Technology (IJRASET)
February 2023
This paper presents the design and kinematic analysis of a novel cable-suspended parallel robot for agricultural applications. The proposed system offers high precision at low cost, making advanced farming techniques accessible to small-scale farmers.
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