Syed Muhammad Irtaza Hyder
Lahore, Pakistan
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ï syed-muhammad-irtaza-hyder § SyedMIrtazaHyder
Education
National University of Science and Technology
Nov 2021 – Jun 2025
Islamabad, Islamabad
Bachelor of Engineering in Computer Engineering
CPGA: 3.98
Experience
Kubar.io
May 2024 – Aug 2024
DevOps Intern
Remote, US
• Optimized API to provide paginated data in parallel to multiple client requests with latency of less than 5ms
• Designed RESTful API following OAS using FastAPI in Python, improving request speed and readability of API by 15%
• Took leading role in developing and maintaining data pipeline for monitoring Azure Kubernetes Clusters’ traffic and
health for Kubar.io two big customers - Careem and Uber
The Data Institute, Pakistan
Apr 2023 – Aug 2024
Trainee Data Scientist
Islamabad, Islamabad
• Obtained a Trainee Data Scientist Certification signifying experience and passion to pursue Data Science
• Utilized Python, SQL/NoSQL, Docker, BERT, Grafana, and machine learning frameworks (e.g., scikit-learn, XGBoost)
to implement ML/NLP pipelines and dashboards
• Completed an intensive, project-driven program focused on practical applications of data science tools and techniques,
creating predictive models with 90% accuracy, and improving database query efficiency by 15%.
Projects
LiDAR based Perception for NUSTAG Electric Vehicle | Python, ROS2, Docker, Jetson
Aug 2024 – May 2025
• Customized Arduino and ESP to communicate with Jetson Xavier using SPI and UART protocols to control braking,
steering and throttle speed for Electric Vehicle
• Developed preprocessing pipeline to convert LiDAR and training data into RGB BEV (Bird-Eye View) images for model
training and inference, reducing computation complexity by 30%
• Trained and Tuned Complex YOLOv3 & YOLOv11 (OBB) for Object Detection, deploying the models on Jetson
Hardware with GPU acceleration using TensorRT, giving 3x speed up during inference on edge device
16-bit 10x10 Matrix Multiplication on FPGA | Python, Verilog, Xillinx ISE
Nov 2024 – Dec 2024
• Improved efficiency and reduced latency by 10% by customizing architecture for parallel row-wise multiplication
• Programmed a modular and flexible 10x10 Parallel Matrix Multiplier in Verilog and a python script for sending and
receiving 16-bit matrices
• Implemented UART for serial communication between FPGA and PC for sending matrices for computation to FPGA
and transmitting the output matrix back to PC
Cloud Based Autonomous Delivery Robot | Python, Raspberry Pi, Azure Cloud
Jan 2024 – Mar 2024
• Integrated UNET for road segmentation on the edge for Raspberry Pi
• Responsible for sensor fusion of NEO 6M GPS module, L298N Motor Drivers, and MPU 6050 with Raspberry Pi
• Programmed and managed telemetry and web app communication between Raspberry Pi 3.5B and Azure Web App using
Azure Cloud Services (e.g. Azure IoT Hub)
Chess Engine | C++
Apr 2023 – May 2023
• Utilized standard template and algorithm libraries for designing game logic and Window Form Application for GUI
• Simplified searching and computation by employing data structures and algorithms in STL, boosting processing by 10%
• Constructed chess game and a chess bot in C++, utilizing heatmaps for computing optimal move, reducing bot decision
making time by 20%
Relevant Coursework
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Operating System
Computer System Architecture
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Machine Learning
Digital Image Processing
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Data Structures and Algorithms
Microcontrollers Based Design
Technical Skills
Languages: Python, C++, Verilog, MIPS Assembly, 8086 Assembly
Developer Tools: Neovim, VS Code, Azure Cloud Services, Git, Github
Technologies/Frameworks: Linux, Docker, Sci-kit learn, OpenCV, ROS2, Gazebo, Rviz, FGPA