Professional Experience

Selected research & industry roles in robotics and machine learning - newest first.

  1. Boston University, Morphable Biorobotics Lab - Graduate Researcher Sep 2024 - Present
    Advisor: Prof. Tommaso Ranzani
    My graduate thesis, titled "Closed-Loop Control of Multi-DOF Soft Robotic Actuators using Machine Learning and Model Predictive Control," involves complex data-driven strategies for complex underwater soft robotics.
    • Developing inverse models and reinforcement learning frameworks for precise open-loop and closed-loop control of multi-DOF actuators in underwater environments.
    • Architecting a real-time control system for Soft Balloon Actuators (SBAs) with integrated sensing, combining reinforcement learning and MPC for adaptive motion.
    • Advancing data-driven approaches and modeling techniques to improve the performance, robustness, and trajectory tracking of soft robotic systems.
    Soft Robotics Reinforcement Learning Control Theory System Identification
  2. Boston University School of Medicine, Tay Lab - Research Programmer Nov 2024 - Mar 2025
    Mentor: Prof. Tuan Leng Tay
    Contributed to a cutting-edge biomedical imaging project, applying deep learning to automate the analysis of cellular structures in high-resolution microscopy.
    • Engineered an end-to-end U-Net segmentation pipeline to automatically detect and analyze microglial cells, enabling scalable, high-volume data processing.
    • Managed the complete MLOps workflow, from large-scale data annotation and preprocessing to deploying models on high-performance computing (HPC) infrastructure.
    Biomedical Imaging Deep Learning U-Net Segmentation MLOps
  3. Indian Institute of Science (IISc), CISTUP - AI Research Intern Jun 2023 - Sep 2023
    Mentor: Prof. Punit Rathore
    This research internship involved developing a domain-specific Large Language Model and pioneering a novel approach for environmental sensing using mobile data.
    • Fine-tuned a LLaMA2-based legal document assistant by engineering custom NLP and web-scraping pipelines to build a high-quality, domain-specific dataset.
    • Established rigorous benchmarks to validate LLM performance for accuracy and contextual relevance, ensuring trustworthy and high-performing results.
    • Conducted a systematic study on road condition classification by applying signal processing techniques to extract predictive features from smartphone sensor data.
    LLMs NLP Data Pipelines Signal Processing
  4. NewSpace Research and Technologies - Robotics Intern Jul 2022 - Sep 2022
    Gained foundational, hands-on experience in autonomous aerial systems, focusing on the complete development lifecycle from high-fidelity simulation to hardware testing.
    • Developed and validated autonomous quadcopter control systems, bridging simulation-to-reality gaps using Robot Operating System (ROS) and Software-in-the-Loop (SITL).
    • Implemented and tuned flight control algorithms to significantly enhance mission stability and the precision of autonomous waypoint navigation for UAVs.
    ROS UAV Control SITL MAVROS / MAVLink PID Tuning