I am an AI and robotics researcher working at the intersection of Deep Reinforcement Learning, Autonomous Vehicle Navigation, and High-Fidelity Robotics Simulation. My background spans mechatronics and control systems.
- π Current Research: Safe Navigation and Motion Planning for Autonomous Systems in Dynamic Environments using Hybrid RL & Imitation Learning.
- π§ Technical Focus: Deep Reinforcement Learning (PyTorch, Gymnasium), Multi-Agent Trajectory Forecasting (ST-GCNN, CVAE-GMM), Real-Time Computer Vision (YOLOv11, Vision Transformers), and Physics-Based Multibody Simulation (MATLAB/Simulink, Simscape).
| Project | Description | Core Stack | Repository |
|---|---|---|---|
| π€ SCARA Robot Dynamics & Simscape Simulation | SCARA CAD assembly integration, analytical inverse kinematics, trajectory generation, and independent-joint PID tracking in Simscape Multibody. | MATLAB Simulink Simscape CAD |
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| π§ DQN for Frozen LLM Prompt Modifier Selection | DQN agent selecting discrete textual prompt modifiers for a frozen TinyLlama model, balancing correctness and response length. | PyTorch Transformers BoolQ |
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| πΆ Pedestrian Trajectory Prediction | Deep generative multi-agent path forecasting using Spatio-Temporal Graph Convolutions and CVAE-GMM on ETH/UCY-formatted validation data. | PyTorch ST-GCNN CVAE-GMM |
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| πͺ Helmet Detection & Video Generation | YOLOv11 helmet detection (reported validation mAP@50: 0.83) paired with text-to-video diffusion and frame-wise inference. | YOLOv11 Diffusers OpenCV |
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| π¬ Histopathology Classification with ViT | Comparative five-class histopathology classification experiments using ViT-B/16 and ResNet-50 with transfer learning. | ViT-B/16 ResNet-50 LC25000 |
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