CV

Education, experience, projects, publications, certifications, and technical skills.

Contact Information

Name Shubham Derhgawen
Professional Title Robotics Graduate Student
Email sderh001@ucr.edu
Phone +1 (951)-465-9836
Location Riverside, California

Professional Summary

Robotics graduate student at UC Riverside focused on embodied AI, machine learning, motion planning, and autonomous systems.

Experience

  • 2025 -

    Riverside, California, US

    Visiting Research Assistant
    Motion Planning Lab, UC Riverside
    Developing simulation and evaluation tooling for social robot navigation and embodied AI experiments.
    • Developed a ROS 2 and Unity platform for crowd simulation and social robot navigation with support for 12 crowd policies.
    • Built scenario generation, benchmarking, and evaluation tools for reproducible 75-trial and 75-episode experiments.
    • Integrated crowd policies with motion matching and smoothing, reducing jerk by 9% and angular jerk by 21%.
  • 2025 - 2025

    Riverside, California, US

    Grader/Reader
    University of California, Riverside
    Supported instruction for CS258 / EE227: Introduction to Reinforcement Learning.
    • Graded assignments, projects, and exams for reinforcement learning coursework.
    • Assessed student understanding of MDPs, dynamic programming, Monte Carlo methods, temporal-difference learning, and policy gradient methods.
  • 2025 - 2025

    Riverside, California, US

    Visiting Research Student
    Collaborative Intelligence Systems Lab, UC Riverside
    Built infrastructure for human-in-the-loop autonomous driving experiments and multimodal data collection.
    • Built a 3-vehicle CARLA platform across 3 machines with Logitech G923 controls for human-in-the-loop experiments.
    • Developed a record-and-playback pipeline for real-time 720p simulation and high-resolution multimodal capture.
    • Collected multimodal driving data in CARLA and supported real-world multi-agent driving data collection.
  • 2022 - 2024

    India

    Software Developer
    Vijeta Transport Private Limited
    Built and maintained internal software systems for transport operations.
    • Developed and maintained a customized transport management information system supporting business operations.
    • Built real-time data handling and reporting components using Firestore and Power BI dashboards.
    • Collaborated with stakeholders to translate operational requirements into deployable software features.
  • 2020 - 2022

    India

    Systems Engineer
    Tata Consultancy Services
    Worked on enterprise ETL workflows and cloud migration efforts on Microsoft Azure.
    • Supported migration and maintenance of ETL workflows from on-premises infrastructure to Microsoft Azure.
    • Worked with C#, Azure Data Lake, Azure Data Factory, Azure Batch, and SSIS to build and maintain data pipelines.
    • Monitored, debugged, and optimized ETL jobs to improve reliability and reduce downtime.

Education

  • 2024 - 2025

    Riverside, California, US

    Master of Science
    University of California, Riverside
    Robotics
    • Advanced Robotics
    • Reinforcement Learning
    • Foundations of Machine Learning
    • Computational Methods for Robotics
    • Artificial Intelligence
    • Foundations of Robotics
    • Information Theory
    • Advanced Computer Vision
    • Natural Language Processing
    • Focus area: Embodied AI and Machine Learning.
  • 2016 - 2020

    Pune, India

    Bachelor of Engineering
    University of Pune
    Information Technology
    • Fundamentals of Data Structures and Algorithms
    • Database Management Systems
    • Operating Systems
    • First Class with Distinction.

Publications

Skills

Programming Languages: Python, C, C++, C#, JavaScript, PHP
Robotics and Simulation: ROS, ROS 2, TF/tf2, Gazebo, CARLA, RViz, Foxglove, MoveIt, URDF, Unity, Isaac Lab
Machine Learning Tools: PyTorch, TensorBoard, Optuna, ONNX
Embedded Systems and Mechanical Design: Arduino, Raspberry Pi, SolidWorks
Cloud and Data Tools: Azure Data Factory, Azure Data Lake Storage, Azure Machine Learning, Azure Storage, AWS EC2, AWS RDS, AWS S3, GCP Cloud Firestore, Firebase Hosting, Power BI
Frameworks and Developer Tools: Git, Linux, Docker, Azure DevOps, Selenium, ReactJS, CodeIgniter, jQuery

Certificates

  • Azure Data Scientist Associate - Microsoft
  • Azure Fundamentals - Microsoft
  • Accessibility in Action - Microsoft
  • Problem Solving (Basic) - HackerRank

Projects

  • Autonomous Warehouse Pick-and-Deliver Robot

    Developed an autonomous TurtleBot2-based robot with a manipulator for simulated warehouse pick-and-deliver tasks.

    • Implemented a sampling-based planner to improve task-level planning for navigation and object delivery.
    • Technologies used: Gazebo, ROS1, RViz, rqt, MoveIt.
  • Demonstration-Augmented Proximal Policy Gradient

    Incorporated expert demonstrations into PPO to improve sample efficiency in LunarLander-v2.

    • Modified the training objective to leverage expert data while maintaining task performance.
    • Technologies used: Python, PyTorch, OpenAI Gym, Optuna, TensorBoard.