– Designed a real-time soil moisture monitoring system using unsupervised model training and signal processing to optimize crop irrigation and enhance yield.– Developed a machine learning pipeline using state-of-the-art technologies such as Python, and Pytorch to enable accurate detection and classification for Middle East company.– Applied image processing techniques such as filtering, segmentation, and feature extraction to analyze and interpret complex image datasets.– Developed machine learning model using OpenCV, and Python for segmentation task, achieving accuracy up to 90%.– Demonstrated expertise in designing and implementing regression models to uncover relationships between variables and make accurate predictions.– Developed and deployed cutting-edge forecasting models to identify patterns and trends in time-dependent data.– Leveraged QJIS for advanced image analysis and processing, utilizing powerful geoprocessing tools and remote sensing capabilities to extract valuable insights from complex data sets, and developed custom Python scripts to automate workflows and improve data processing efficiency.

– Utilized advanced data pre-processing and computer vision methodologies to analyze image data for Middle East smart city development project, resulting in highly accurate object detection and recognition.– Created a comprehensive web-based dashboard with features including data cleaning, exploratory data analysis, scaling, and machine learning model training.– Research Paper: "A Novel Knowledge Distillation Technique for Colonoscopy and Medical Image Segmentation"1. Conducted in-depth research on the application of knowledge distillation techniques for improving colonoscopy and medical image segmentation accuracy. 2. Developed and implemented a novel knowledge distillation framework that effectively transferred knowledge from a teacher model to a student model, resulting in a significant enhancement in segmentation performance.3. Analyzed experimental results, performed statistical analysis, and interpreted findings to draw meaningful conclusions for the research paper.

– Led machine learning operations and research for computer vision-based solutions, including building end-to-end AI architectural pipelines for applications such as object detection and classification.– Developed PyTorch model pipeline for high-accuracy detection of manufacturing damages, collaborated on auto inspection tool for car parts using computer vision, and deployed on Nvidia Jetson for real-time inference.– Taught young employees the basics of Python and PyTorch fundamentals.

– Lead and manage a team of graphic designers, providing mentorship, guidance, and support to foster a collaborative and creative work environment.– Coordinate and prioritize design projects, assigning tasks to team members based on their strengths and expertise while ensuring timely and high-quality deliverables.– Review and approve final designs, ensuring they meet quality standards and adhere to project specifications before delivery to stakeholders.– Handle team resourcing, recruitment, and onboarding processes to build a skilled and motivated design team.