Raza Ul Azam

- High performance Desktop application and Cloud services development and deployment for Point Cloud processing - Writing the unit and integration tests as well as e2e tests - Computer Vision algorithms based on AI - Agile working methodology based on Scrum and Kanban - Filed two patents Tools and Technologies: Rust, Golang, C++, Python, JavaScript, CMake, Linux, Windows, Multithreading, Multiprocessing, AWS, Azure DevOps, Docker, Kubernetes, ArgoCD, RestAPI, gRPC, PyTorch, Celery, Redis, RabbitMQ

- Programming Neural Networks from scratch for Computer Vision problems using Python, C++, MXNet and PyTorch - Programming Neural Network layers with weights quantization - Programming Probabilistic Uncertainty quantification methods - Programming anomaly detection methods in hardware accelerators - Data Analysis using SQL, Pandas and OpenCV - Skills: Python, C++, MXNet, PyTorch, Git, SQL, Pandas, OpenCV, Scikit-learn, ONNX

- Programmed different variants of Genetic algorithms for parameter optimization tasks - Assisted with developing CUDA kernels for optimizing the process of searching the right parameters - Programmed Machine Learning model based prototypes for solving the same task and compare its accuracy with Genetic algorithms - Worked with Simulink for modelling different automotive dynamical systems Tools and Technologies: C++, CUDA, Python, SQL, Pandas, Scikit-learn, MATLAB/Simulink

- Improved audio rendering algorithms for the MPEG-H codec - Worked with adding new features and maintaining the huge legacy codebase - Performed test simulations on MATLAB and in a real environment Tools and Technologies: C++, MATLAB

- Computational Problem Solving (CS 100) - Linear Algebra with Differential Equations (MATH 120) - Introductory Circuits Lab (EE 241) - Feedback Control Systems (EE 361) - Microelectronic Design (EE 341)

Note: 1.6/5.0

Note: 3.55/4.0