Muhammad Sameer Ali Khan

• Trained differently sized custom deep computer vision models for problems including classification and detection • Worked on integration of Deep Learning models in an enterprise application to generate insights from data • Created CI/CD Pipeline for Python-related tasks to resolve dependencies conflicts and code errors with automated packaging of the compiled code to be deployed on production servers • Researched and incorporated the standard industry practice for the decent real-time performance

• Researched and Implemented deep learning techniques including RPN (Faster-RCNN) and SSD (YOLOv3 and YOLOv5s) for multiple/moving object detection for self-driving cars • Practiced ROS 2 and reviewed other state-of-the-art simulators including autoware.auto

• Identified hidden patterns and trends from the data generated by the IIoT devices installed at various textile and process industries • Recognized pattern generated by energy monitoring with LSTM, PLS, Random Forest, and other time series analysis architects like DTW to identify flaws in order to prevent downtime and loss • Developed a Python-based pipeline to convert the raw data to a format directly utilized for downstream ML tasks

Coursework: Computer Programming, Applied Probability & Statistics, Calculus, Advance Calculus & Linear Algebra, Advance Mathematical Techniques