Robotics Systems Engineer

Perception → Control → Deployment

I build and deploy perception-driven robotic systems that operate outside the simulator.

My work integrates vision, control theory, embedded computation, and hardware-level system design - moving from mathematical modeling to real-world execution under power, latency, and reliability constraints.

Currently pursuing M.Tech in Autonomous Systems and Machine Intelligence at ABV–IIITM Gwalior.


Engineering Focus

  • Vision-Based Closed-Loop Control
    Image-Based Visual Servoing (IBVS), perception-to-actuation pipelines, stability-aware control

  • Robotic Hardware Integration
    3D-printed fabrication, serial bus servos, power architecture design, calibration

  • Edge AI Deployment
    Model optimization, quantization, real-time inference on embedded platforms

  • Simulation-to-Real Validation
    System-level testing across MuJoCo simulation and physical robotic platforms


How I Work

  • I design full robotic stacks - not isolated ML models
  • I validate control pipelines on physical hardware
  • I optimize systems under real compute and power constraints
  • I focus on reliability, stability, and deployability

Experience Snapshot

  • Research Intern - Space Applications Centre (ISRO)
  • Springer & IEEE-published research
  • Dual-arm robotic fabrication and actuator-level integration
  • Edge AI rover system deployed on Raspberry Pi

Explore My Work

→ Projects - Control pipelines, hardware systems, deployment validation
→ Research - Publications and thesis work
→ Download CV


Seeking Robotics R&D / Autonomous Systems Engineer roles in physical AI, space robotics, and perception-driven control systems.