11/06/2026 updated
100 % available
AI Research Scientist & Computer Vision Engineer (Ph.D.)
Karachi, Pakistan
Worldwide
PhD in Computer Science and EngineeringAbout me
Dr. Aakash Kumar, PhD (USTC), CAS-TWAS Fellow. 25+ papers (Neurocomputing, Applied Intelligence, IEEE); reviewer for 10 journals. Expert in deep learning, DNN pruning, object detection, RL, LiDAR fusion, LLM/RAG, ML pipelines, academic writing & LaTeX. Published, peer-reviewed, deployed.
LLMArtificial IntelligenceComputer VisionMachine LearningOpenCVTensorFlowData SciencePyTorchDeep LearningGenerative AIArtificial Intelligence Markup Language (AIML)
Deep Learning & Computer Vision
Expertise in designing and deploying deep learning models for computer vision tasks including 3D object detection, stereo endoscopy, real-time mask detection, crowd counting, and fault detection, using frameworks such as PyTorch, TensorFlow, OpenCV, YOLO, SSD, and Transformers.
Robotics & Autonomous Systems
Hands-on experience in robotic path planning, ROS 1 and ROS 2, SLAM mapping, LiDAR-camera fusion, deployment of Vision-Language-Action models on humanoid robots, and configuration of full simulation environments including Gazebo, RViz, Nav2, and Cartographer.
Machine Learning & AI Research
Strong background in machine learning model optimization, CNN pruning, deep reinforcement learning, LLM integration (RAG, generative AI), LSTM-Attention mechanisms, and statistical data modeling, with 25 peer-reviewed publications in top journals.
Large Language Models & Generative AI
Application of LLM techniques such as RAG, prompt engineering, and generative AI to enhance language understanding, code generation, and system capabilities.
GPU Computing & Parallelization
Utilization of GPU parallelization, Google Colab GPUs, and AWS for accelerating deep learning training and inference pipelines.
Programming Languages & Tools
Proficiency in Python, R, C & C++, MATLAB/SIMULINK, Linux Unix, Arduino Coding, Latex, and Docker for software and firmware development.
Data Science & Statistical Analysis
Comprehensive data analysis using statistical methods, exploratory data analysis, data visualization, and tools such as Pandas, Matplotlib, and Stata.
Embedded Systems & Hardware
Deployment and operation of custom Jetson Xavier NX and Jetson Orin-based mobile robots, hardware development, software/hardware debugging, and fault analysis and testing.
Medical AI & Healthcare Applications
Development of AI-driven cardiac age modeling for cardiovascular risk prediction, 3D endoscopic fault detection systems, and neuropsychological condition prediction for clinical deployment.
Expertise in designing and deploying deep learning models for computer vision tasks including 3D object detection, stereo endoscopy, real-time mask detection, crowd counting, and fault detection, using frameworks such as PyTorch, TensorFlow, OpenCV, YOLO, SSD, and Transformers.
Robotics & Autonomous Systems
Hands-on experience in robotic path planning, ROS 1 and ROS 2, SLAM mapping, LiDAR-camera fusion, deployment of Vision-Language-Action models on humanoid robots, and configuration of full simulation environments including Gazebo, RViz, Nav2, and Cartographer.
Machine Learning & AI Research
Strong background in machine learning model optimization, CNN pruning, deep reinforcement learning, LLM integration (RAG, generative AI), LSTM-Attention mechanisms, and statistical data modeling, with 25 peer-reviewed publications in top journals.
Large Language Models & Generative AI
Application of LLM techniques such as RAG, prompt engineering, and generative AI to enhance language understanding, code generation, and system capabilities.
GPU Computing & Parallelization
Utilization of GPU parallelization, Google Colab GPUs, and AWS for accelerating deep learning training and inference pipelines.
Programming Languages & Tools
Proficiency in Python, R, C & C++, MATLAB/SIMULINK, Linux Unix, Arduino Coding, Latex, and Docker for software and firmware development.
Data Science & Statistical Analysis
Comprehensive data analysis using statistical methods, exploratory data analysis, data visualization, and tools such as Pandas, Matplotlib, and Stata.
Embedded Systems & Hardware
Deployment and operation of custom Jetson Xavier NX and Jetson Orin-based mobile robots, hardware development, software/hardware debugging, and fault analysis and testing.
Medical AI & Healthcare Applications
Development of AI-driven cardiac age modeling for cardiovascular risk prediction, 3D endoscopic fault detection systems, and neuropsychological condition prediction for clinical deployment.
Experience
Professional experience5 - 10 years
Freelancer since2022
Languages
ChineseFluentEnglishFluent
Project history
Conducting research in robotic path planning and 3D object detection leveraging LiDAR and camera sensor data. Deployed and fine-tuned NVIDIA GR00T-N1.5 VLA model on UBTECH Cruzr S2 humanoid robot. Working on AI-Driven Cardiac Age Modeling for Cardiovascular Risk Prediction. Co-supervising 4 doctoral and 3 masters students. Designed ROS 2 autonomous robotics training programme and deployed custom Jetson Xavier NX-based mobile robot.
Working on Stereo Endoscopy 3D Object Detection using RT-DETRv2 and STTR GPU Pipeline, BlenderMCP Blender Model Context Protocol Integration, creating Autonomous Agents for company workflow, and Gaze Tracking Using Computer Vision.
Conducted research in robotic path planning and 3D object detection using LiDAR and camera sensor data. Developed a fault detection framework for fixed-wing UAVs using a lightweight CNN model with LSTM-Attention Mechanism. Implemented LLM techniques including RAG and generative AI. Contributed to two provincial-level research projects in 3D object detection, robotic path planning, and loop closure detection. Co-supervised doctoral and masters students.