Yashveer Jain

Developed a photorealistic simulator for Aerial-Aquatic Mobile Manipulators in various environments, implementing controllers and reinforcement learning for hydrodynamics simulations.

Developed market impact models using Recurrent PPO-based reinforcement learning to optimize trading costs and improve execution performance, increasing accuracy by 20%. Built machine learning infrastructure leveraging Python and TensorFlow for real-time data analysis, decreasing latency by 15%. Deployed trading algorithms using Kubernetes and Docker on AWS.

Assisted in teaching a graduate course on Control of Robotic Systems, deepening understanding of control systems and conveying complex material related to linear system theory and optimal control.

Developed a machine learning model with frequency domain signal processing on microcontrollers for asset tracking, enhancing efficiency by 50%. Ensured success of edge computing projects by implementing optimized machine learning models for resource-constrained systems.

Developed a microdrone with a vision pipeline for autonomous planning and control, achieving precise navigation by synchronizing sensor data.

Developed a Math recognition tool and improved OCR algorithms using Transformers in PyTorch, resulting in a 60% accuracy enhancement. Designed a solution for parking lot occupancy detection, boosting car detection accuracy by 20% through integration of DeepLabv3 and YOLOv7.

Implemented Kalman and particle filters with LK optical flow for vehicle and pedestrian tracking in autonomous driving systems. Developed unsupervised deep learning visual odometry for depth estimation, increasing SLAM accuracy by 20%.

Grade: 3.87/4

Pursuing a Master of Engineering in Robotics with a GPA of 3.87/4. The program focuses on advanced robotics concepts and applications.

Grade: 9.44/10

Completed a Bachelor of Engineering in Mechatronics with a GPA of 9.44/10. The curriculum included courses in Industrial Robotics, Pneumatics, and Control Systems.