Worcester Polytechnic Institute
Research Assistant | March 2025 - Present
Designed and deployed ARBot, an open-source, real-time 6-DoF teleoperation framework for the PiPER robotic arm, serving as a high-fidelity physical proxy for human-centered Augmented Reality (AR) evaluation.
Engineered a 200Hz proactively-safe, position-centric Quadratic Programming (QP) control architecture, replacing the previous velocity-based system to guarantee smooth execution and fail-safe behavior during network drops.
Implemented an iterative Newton-Raphson Inverse Kinematics (IK) solver with Damped Least-Squares (DLS) to robustly handle kinematic singularities and optimize real-time trajectory tracking without violating hardware limits.
Developed multimodal motion capture pipelines, integrating an ARCore-based mobile application (ARPose) and a custom computer vision/IMU sensor fusion system to capture high-velocity human dynamics.
Validated system efficacy through an 11-participant IRB-approved study, achieving 19.5 ms end-to-end latency and 5.0 mm median trajectory error, and published a 132-trajectory benchmark dataset for the research community.
Learning Outcome:
Enhanced skills in robotic system testing and validation, ensuring industry-standard compliance and seamless integration. Improved debugging efficiency and algorithm validation techniques, reducing development time.
Worcester Polytechnic Institute
Research Assistant | November 2024 - March 2025
Developed a step tracking application utilizing accelerometer and activity recognition sensors, improving step detection accuracy through Google's Activity Recognition API.
Implemented a robust data persistence system using Room database and MVVM architecture, ensuring real-time step tracking, historical data storage, and interactive visualization with MPAndroidChart.
Enhanced testing and performance validation, conducting unit tests for database operations and step detection accuracy, identifying marginal errors and areas for improvement to refine step count precision.
Learning Outcome:
Gained expertise in sensor-based step detection, MVVM architecture, and data persistence using Room database. Improved skills in real-time data visualization, testing, and accuracy optimization for step tracking applications.
Tangible Synthesis
Test Intern | May 2023 - June 2023
Worked on comprehensive Test Plans for Mobile Robots, resulting in a 20% reduction in debugging time.
Validated algorithms and meticulously tested the warehouse robot, demonstrating exceptional attention to detail and ensuring adherence to industry standards and seamless system integration.
Learning Outcome:
Enhanced skills in robotic system testing and validation, ensuring industry-standard compliance and seamless integration. Improved debugging efficiency and algorithm validation techniques, reducing development time.
Tangible Synthesis
R&D Intern | January 2023 - March 2023
Conducted product and domain research, delivering valuable insights and demonstrated strong communication skills by effectively coordinating with cross-functional teams on projects such as the Security Surveillance Robot and Drone.
Implemented an IoT-based environmental gas monitoring system with ESP32 and Sensors (CO₂, CH₂O, O₃, CO, VOCs, NO₂), utilizing firebase for real-time data transfer.
Learning Outcome:
Developed strong research and communication skills through cross-functional collaboration on robotics and drone projects. Gained hands-on experience in IoT-based environmental monitoring, leveraging ESP32, sensors, and real-time cloud integration with Firebase.
Mehta Expai Technologies
Intern | May 2022 - July 2022
Gained direct experience in Battery Management Systems, contributing directly to the assembly of battery packs.
Collaborated with senior engineers to optimize battery life and safety features, boosting product performance.
Learning Outcome:
Gained practical experience in Battery Management Systems (BMS) and battery pack assembly. Enhanced understanding of battery optimization and safety features, improving overall product performance.