Hi! I’m Apurv.

Working in Prof. Zhu-Tian Chen’s lab, developing human-in-the-loop systems for scalable robot demonstration collection and learning-based manipulation.

• Building multimodal data-collection pipelines that synchronize RGB-D observations, robot state, and human demonstrations for bimanual manipulation.
• Preparing datasets and model-training workflows for imitation learning, vision-based policy evaluation, and simulation-to-real validation.

Graduate training at the intersection of perception, autonomy, and intelligent physical systems, with an emphasis on translating algorithms into reliable behavior in simulation and on real robots.

• Relevant coursework: Computer Vision, Intelligent Robotic Systems, Artificial Intelligence I & II, Machine Learning, and Mixed Reality Systems.
• Building a systems-level foundation in sensing, learning, planning, and control for reliable deployment on physical robotic platforms.

New Delhi

Led end-to-end product development of a smart medical device, translating user and stakeholder needs into product requirements across mechanical design, electronics, embedded firmware, and prototype validation.

• Managed the product-development lifecycle across requirements definition, concept iteration, rapid prototyping, subsystem integration, and stakeholder demonstrations.
• Built and integrated CAD, 3D-printed parts, sensors, electronics, and ESP32 firmware into a working prototype presented to investors and hospitals.
• Designed 24-hour reliability tests that improved signal stability and reduced measurement inconsistency by 87%.

New Delhi

Developed on-vehicle air-pollution mitigation technologies for new vehicles and retrofit applications in collaboration with IIT Delhi, contributing from system design through prototype validation.

• Coordinated a team of more than four interns working across mechanical, electronics, sensing, and software subsystems.
• Contributed to product management and design for manufacturing (DFM), including subsystem integration, testing, and technical documentation for real-world vehicle deployment.
• Contributed simulation and validation work used in reports that helped secure a $50K+ grant.

Guwahati, India

Built an interdisciplinary foundation across physics, computation, electronics, modeling, and optimization that now informs my work in robotics and intelligent physical systems.

• Relevant coursework: Deep Learning; Big Data Analytics: Tools & Techniques; Simulation Techniques in Physical Systems; Optimization Methods in Engineering; Signals and Systems; Digital Electronics and Microprocessors; and Measurement Techniques.
• Served as a Core Team Member of the Robotics Club at IIT Guwahati, contributing to hands-on robotics projects, peer learning, and technical activities.
• Combined analytical coursework with laboratory and project experience spanning electronics, sensing, simulation, and computational methods.