I am a dedicated robotics engineer focusing on developing intelligent systems for autonomous robots. With expertise in ROS1 and ROS2, computer vision, and motion planning, I bring a well-rounded approach to robotic system design and implementation. Currently, I am pursuing my Master’s in Robotics at Northeastern University.

In previous roles as a Robotics Intern at Flomobility and Strider Robotics, I gained extensive experience in building production-level robotic systems, contributing to real-world, scalable solutions. These opportunities enhanced my understanding of end-to-end robotics development, from concept through deployment.
If you seek a skilled and collaborative robotics engineer to contribute to innovative projects, feel free to connect with me!

• 🚀 I’m currently working on Nova Sanctum: A ROS2-Based Life Support System for Space Missions.
• 🤖 Passionate about Autonomous Systems, Mobile Robotics, and Motion Control.
• 🔬 Exploring Sensor Fusion, Visual Odometry, and Probabilistic State Estimation.
• 💡 Always up for discussions on SLAM, Path Planning, and Space Robotics.
• ⚡ Fun fact: Building robots isn't just a job—it's an adventure in intelligence and automation!

Here are some of my exciting projects in robotics, automation, and missile guidance:

• 🌍 ROS2-Based Environmental Control and Life Support System (Nova Sanctum)
  A ROS2-based modular simulation of the Environmental Control and Life Support System (ECLSS) used aboard the International Space Station (ISS). It ensures a habitable environment for astronauts by handling air revitalization, oxygen recovery, and water purification in a closed-loop manner.

  • 🔄 Air Revitalization System (ARS): CO₂ removal, humidity control, and contaminant filtration.
  • 🫁 Oxygen Recovery System (ORS): Electrolysis-based oxygen generation and hydrogen recycling.
  • 💧 Water Recovery and Purification System (WRPS): Converts waste and condensation into potable water.
  • Tech: ROS2, Python, C++
  • GitHub Repo: Nova Sanctum

• 🔥 MPC-Based GNC for Missiles
  A Comparative Study of LQR and MPC for Missile Longitudinal Autopilot Design using MATLAB Simulation with CasADi optimization toolbox. This project focuses on implementing optimal control techniques for missile guidance, navigation, and control (GNC).

  • Approaches: Linear Quadratic Regulator (LQR) and Model Predictive Control (MPC)
  • Simulation Tools: MATLAB & Simulink
  • Visualization: FlightGear (Real-time Visualization of Missile Trajectories)
  • Technologies: MATLAB, CasADi
  • Applications: Autonomous missile guidance, obstacle avoidance, and precision targeting.

• 🤖 DITTO: A OUTDOOR DELIVERY ROBOT
  Ditto is a level 2 autonomous delivery robot that uses a QR code-based authentication fail-proof locking system and an onboard OAK-D lite camera for perception. This robot can be used in gated communities and large campuses.

  • Tech: ROS1 Noetic, OAK-D lite depth camera, Rack and pinion-based package securing system.
  • Video Repo: Ditto working in realtime

• 🚗 RUSTY
  Rusty is a "picking assist AMR" where robots travel to pick locations, allowing operators to deliver goods efficiently. This system uses a ROS navigation stack and LiDAR-based SLAM.

  • Tech: ROS1, ROS Navigation Stack, C++, Python
  • GitHub Repo: RUSTY

• 🛒 S-MART
  Amazon Fresh Dash Cart emulator using a custom-trained YOLOv4 AI model for recognizing 12 different retail products. It enables hassle-free self-checkout in retail stores.

  • Tech: Python, Computer Vision, Raspberry Pi 4B+
  • Demo Video: S-MART: Tech cart demo

• Programming Languages: Python, C++, C
• Robotics Frameworks: ROS 1/ROS 2, MoveIt, Gazebo Classic and Gazebo Harmonic (basics)
• Embedded Systems: Arduino, Raspberry Pi

🚀 Looking forward to collaborating on exciting projects! Reach Out to me by clicking on either of the links below