Irtaza Hyder

I’m Syed Muhammad Irtaza Hyder, a graduate in Computer Engineering. My academic journey bridges low-level embedded systems with high-level data-driven intelligence, allowing me to work comfortably across the hardware-software boundary.

Technically, I work with Python, C++, R, Verilog, ROS2, Docker, and Linux, and I'm comfortable across cloud, edge, and embedded platforms. I’m passionate about building systems that blend intelligent algorithms with robust hardware, and I’m always open to new collaborations or challenges that push me to grow.

My experience spans multiple domains - from deploying intelligent perception systems on embedded hardware to designing end-to-end data pipelines and machine learning workflows. As a DevOps Intern at Kubar.io, I developed RESTful APIs using FastAPI, achieving low-latency performance under 5ms and improving overall request efficiency by 15%. I also contributed to data pipeline solutions for Azure Kubernetes clusters used by clients like Careem and Uber.

Alongside this, I completed a project-based certification in Data Science at The Data Institute, where I built NLP pipelines using BERT, created dashboards with Grafana, and containerized solutions with Docker. Through hands-on work, I trained predictive models with over 90% accuracy and optimized database queries by 15%, sharpening my understanding of both backend systems and applied machine learning.

One of the most defining projects I’ve worked on is the perception system for the NUSTAG Electric Vehicle. I configured the NVIDIA Jetson Xavier for sensor fusion, enabling real-time processing of LiDAR, IMU, and camera data using ROS2. I further trained and tuned YOLO based models for improved accuracy and reduced inference time.