Qayamul Haque

I am a highly skilled Machine Learning Engineer with a focus on image processing and analytics. Over the past two years, I have been extensively involved in analyzing satellite images, extracting valuable insights, and developing algorithms for various applications. My experience in this domain has honed my abilities to handle large-scale image datasets, apply advanced computer vision techniques, and develop robust models for object detection and recognition

Additionally, I have gained significant expertise in UAV video image processing and analytics. Working on real-time video feeds from unmanned aerial vehicles, I have successfully implemented computer vision algorithms to detect and track objects of interest, such as targets or anomalies, in dynamic environments. My strong grasp of video analysis techniques, combined with my ability to optimize algorithms for efficient and accurate results, have consistently contributed to the success of my projects.

Furthermore, my time at DRDO (Defense Research Development Organization) has provided me with valuable insights into the field of data analysis and Machine Learning. Working on diverse datasets, I have leveraged statistical methods, machine learning, and data visualization techniques to uncover patterns, trends, and actionable intelligence. This experience has enhanced my analytical and problem-solving skills, enabling me to approach complex research challenges with creativity and efficiency.

I hold an M.Tech degree in Intelligent Automation & Robotics from Jadavpur University, where I acquired a solid foundation in computer vision, image processing, machine learning and integration of these techniques in Robotics. I have consistently demonstrated my ability to apply theoretical knowledge to real-world problems, delivering innovative solutions that meet project objectives. Moreover, my strong programming skills in Python, proficiency in deep learning frameworks (such as TensorFlow and PyTorch), and familiarity with tools like OpenCV make me well-equipped to handle the technical aspects of computer vision research.

Beyond technical expertise, I am a dedicated and collaborative team player. I have actively contributed to multidisciplinary teams, working closely with engineers, researchers, and stakeholders to ensure seamless project execution. I possess excellent communication skills, both written and verbal, enabling me to effectively convey complex ideas and research findings to diverse audiences.

I am a highly skilled Machine Learning Engineer with a focus on image processing and analytics. Over the past two years, I have been extensively involved in analyzing satellite images, extracting valuable insights, and developing algorithms for various applications. My experience in this domain has honed my abilities to handle large-scale image datasets, apply advanced computer vision techniques, and develop robust models for object detection and recognition

Additionally, I have gained significant expertise in UAV video image processing and analytics. Working on real-time video feeds from unmanned aerial vehicles, I have successfully implemented computer vision algorithms to detect and track objects of interest, such as targets or anomalies, in dynamic environments. My strong grasp of video analysis techniques, combined with my ability to optimize algorithms for efficient and accurate results, have consistently contributed to the success of my projects.

Furthermore, my time at DRDO (Defense Research Development Organization) has provided me with valuable insights into the field of data analysis and Machine Learning. Working on diverse datasets, I have leveraged statistical methods, machine learning, and data visualization techniques to uncover patterns, trends, and actionable intelligence. This experience has enhanced my analytical and problem-solving skills, enabling me to approach complex research challenges with creativity and efficiency.

I hold an M.Tech degree in Intelligent Automation & Robotics from Jadavpur University, where I acquired a solid foundation in computer vision, image processing, machine learning and integration of these techniques in Robotics. I have consistently demonstrated my ability to apply theoretical knowledge to real-world problems, delivering innovative solutions that meet project objectives. Moreover, my strong programming skills in Python, proficiency in deep learning frameworks (such as TensorFlow and PyTorch), and familiarity with tools like OpenCV make me well-equipped to handle the technical aspects of computer vision research.

Beyond technical expertise, I am a dedicated and collaborative team player. I have actively contributed to multidisciplinary teams, working closely with engineers, researchers, and stakeholders to ensure seamless project execution. I possess excellent communication skills, both written and verbal, enabling me to effectively convey complex ideas and research findings to diverse audiences.

I hold an M.Tech degree in Intelligent Automation & Robotics from Jadavpur University and Post Graduate Diploma in Advanced Computing from CDAC