Waleed Ahmed Email & Phone Number

Foster City, California, US

• Developing software infrastructure using C++ and Python for integration test platforms which utilize simulation and vehicle logs for system validation, safety clearance, and latency testing of autonomy software

Foster City, California, US

• Developed software features for an integration testing framework capable of running autonomy software on representative hardware using simulated or replayed sensor data
• Designed and implemented an improved sensor playback system that enabled more efficient and accurate playback during integration tests

Shenzhen, Guangdong, CN

• Research and development of motion planning software for level 4+ autonomous vehicle applications as apart of Huawei's Noah's Ark Lab
• Developed a unit test suite for a Frenét frame motion planning stack with 90% code coverage using Google Test
• Designed and implemented a path-building library using C++ to aid in the construction of a wide variety of reference paths to test motion planning algorithms on
• Used C++ and Matplotlib to implement scripts that collect and save plots of trajectory characteristics over time (position, velocity, acceleration, jerk, road curvature, etc.) to aid in exposing flaws in motion.
• Wrote a technical report using LaTeX that provided a comprehensive system overview of trajectory generation and evaluation

San Diego, CA, US

• Supported bring up of high-performance software initially written for mobile SoCs onto Qualcomm's Snapdragon Ride platform
• Developed system and application software for an ADAS & autonomous driving platform in C/C++
• Accelerated performance of a computer vision SDK by an average of 20x by leveraging available hardware and software architecture in automotive focused Snapdragon SoCs

Cypress, California, US

• Worked closely with QA and UI/UX designers for user interface development and maintenance to meet release deadlines across a wide variety of projector platforms using the Qt framework in C++ and QML
• Significantly reduced the effort needed to maintain code health through software architecture redesign and setup of a continuous integration pipeline on a Jenkins build server that included unit tests with 90% code.
• User interface and backend development for Christie Conductor, an application that enables efficient control and monitoring of up to 256 projectors. Originally developed to be used at Expo 2020 in Dubai.

Waterloo, Ontario, CA

• Managed development for a robot that competed in the International Autonomous Robot Racing Competition
• Developed software architecture in ROS and C++ for perception, mapping, and path planning using a stereo camera, IMU, and LiDAR sensor
• Implemented a lane detection algorithm capable of handling variable lane widths, curvature, and lighting conditions at a maximum of 25 Hz using OpenCV
• Introduced a new lightweight traffic light detection algorithm using OpenCV that reduced overhead and false positive rate

Waterloo, Ontario, CA

Toronto, Ontario, CA

• Worked on the video platform for Modus V, a robotic digital microscopy solution for cranial and spinal surgery
• Improved visibility of biological tissue during surgical procedures through color manipulation using C++(OpenCV) and C#
• Facilitated full control of camera settings through a.NET application that served as a front-end interface to a serial communication protocol
• Enabled intuitive usage of a color manipulation algorithm through a web interface built with JavaScript, HTML, and CSS
• Post-processed image data in Python using Pandas, NumPy, and Matplotlib to analyze color manipulation
• Used C# to integrate image processing algorithms with existing software architecture in a Windows environment

Waterloo, Ontario, CA

• Software feature development for PPO's Smart Imaging System, which enables real-time food quality analysis
• Developed a robust image acquisition framework using Python and asyncio for rapid line scan imaging of food on an industrial conveyor belt
• Implemented image correction algorithms and post-processing for industrial cameras in Python using NumPy, OpenCV, and Matplotlib
• Restructured camera control modules in C
• Documented software design decisions and a troubleshooting guide to efficiently debug issues pertaining to image acquisition