📧 Email: [email protected]
🔗 LinkedIn: linkedin.com/in/parthgupta11
🐙 GitHub: github.com/ParthGupta11
I am a Robotics and AI Engineer pursuing my Master of Science in Robotic Systems Development at Carnegie Mellon University. My expertise lies in Computer Vision, Machine Learning, Deep Learning, and Robotics Software Development.
This portfolio showcases my work, research, and projects in AI-driven robotics, object detection, instance segmentation, and deep learning applications.
Master of Science in Robotic Systems Development (GPA: 4.08/4.0) | May 2026
- Courses: Learning for 3D Vision, Advanced Computer Vision, Robot Autonomy, Manipulation Estimation & Control
- Key Project: Autonomous Food Assembly Kiosk
Bachelor of Engineering in Information Technology (GPA: 9.6/10.0) | July 2023
- Courses: Data Structures, Algorithms, Artificial Intelligence, Operating Systems
- Publication: Propagation of Errors in a Lorenz System with a Global Prediction Algorithm, IEEE
- Programming: Python (OpenCV, NumPy, PyTorch, Flask), C++, ROS2, MATLAB
- Expertise: Object Detection, Instance Segmentation, Robotics Software Development, Image Processing
- Tools: Git, Linux, AWS, Computer Vision Frameworks
📍 Aug 2023 – May 2024
- Designed ROS2 nodes for high-precision robots to minimize sensor-to-actuator latency (< 2ms).
- Led a 3-engineer team to perform root cause analysis (RCA), reducing error by 67% at 3mph speed.
- Developed virtual farm mapping systems using robot odometry, object detection, and nozzle control data.
- Provided crop growth analytics to farmers, optimizing farm yield with data-driven insights.
📍 Jul 2022 – Jul 2023
- Developed real-time (20 fps) crop row estimation and selective chemical spraying using ML & ROS.
- Managed deep learning pipelines (data labeling, training, evaluation) for crop detection networks (99% accuracy).
📍 Aug 2024 – Present
- Built an autonomous sandwich assembly system using a 7-DOF robotic arm & custom gripper tools.
- Developed ROS2-based perception algorithms using instance segmentation, object detection, and depth maps.
📍 Feb 2023 – Jul 2023
- Designed LSTM networks for time-series forecasting in chaotic systems like the Lorenz system.
- Published IEEE research paper showing error propagation trends in autoregressive forecasting models.
📍 Aug 2022 – Dec 2022
- Developed a real-time AI-based eye-tracking tool for exam proctoring using OpenCV, Dlib, and SVM.
- Achieved 92% tracking accuracy after calibration for different conditions.
Virtual Clothing Assistant | MAIT
📍 Jan 2022 – Mar 2022
- Implemented pose estimation & segmentation with OpenPose, UNet, and ResNet for virtual clothing try-on.
- Deployed as a web-based application using Flask & Django.
📧 Email: [email protected]
🔗 LinkedIn: linkedin.com/in/parthgupta11
🐙 GitHub: github.com/ParthGupta11
I am open to collaborations and new opportunities in robotics, AI, and computer vision. Feel free to reach out! 🚀