"In computer vision, we teach machines to understand the visual world, enabling them to see, interpret, and make decisions based on images and videos." - Andrew Ng
about me
"In computer vision, we teach machines to understand the visual world, enabling them to see, interpret, and make decisions based on images and videos." - Andrew Ng
about meHello! I'm an Electronics Engineer with a focus on Robotics, VLSI, and a passion for Computer Vision and AI.
With 13+ years in technical roles and an ongoing MSc degree, I bring extensive experience alongside a strong foundation in mathematics and programming, primarily in Python.
My leadership skills are honed over a decade, and my ability to provide innovative solutions crosses various engineering domains.
Currently, I'm leveraging my background to specialize in Computer Vision, aiming to master this rapidly evolving field. Let's connect and explore how my skills can contribute to your project's success!
Professional
Academic
GPA 94/100
Concentrations: Robotics & VLSI
If you have any projects or inquiries related to my expertise, feel free to send me a message here. I'm here to assist you and eager to collaborate
Harmonizing Education — Where Acoustic Intelligence Meets Robotic Precision for Enhanced Learning Environments.
Acoubot is an autonomous robotic system engineered to evaluate and improve classroom acoustics. This initiative is an amalgamation of theoretical knowledge and practical engineering, addressing real-world issues that hinder effective teaching and learning due to subpar acoustic conditions. The project encapsulates a full spectrum of technical exploration, from acoustic theory to robotics and sensor technology, resulting in a solution that offers both analysis and actionable recommendations for acoustic enhancements.
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Stereo motion capture, often abbreviated as "stereo mocap," is a cutting-edge technology used to capture three-dimensional motion and depth information using two synchronized web cameras. This technique has gained popularity in various fields, including animation, gaming, virtual reality, and biomechanics, due to its affordability and versatility. Stereo mocap leverages the principle of stereoscopy, which mimics the human visual system by capturing two slightly offset images of the same scene. In the context of motion capture, this means using two web cameras positioned at a fixed distance from each other to record the movement of objects or individuals in 3D space.
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Obstacle avoidance simulation using LiDAR and MATLAB involves creating a virtual environment to test LiDAR sensor performance in detecting and avoiding obstacles. MATLAB's powerful tools allow for realistic simulations and algorithm development, ensuring safer autonomous navigation in various applications, from robotics to autonomous vehicles.
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Replicate and enhance the 2017 deep learning model for classifying sentences in medical abstracts from the PubMed 200k RCT dataset, leveraging advanced NLP techniques to improve sequential understanding and aid medical literature reviews. Outcomes aim for model refinement and valuable insights for future medical NLP research.
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