Bridging the gap between intelligent algorithms and scalable cloud infrastructure. Focused on computer vision, autonomous systems, and embedded robotics.
Deploying and scaling machine learning workloads using the AWS ecosystem, including SageMaker, S3, and containerized backends via Docker and FastAPI.
Developing software stacks for vehicles incorporating multi-task perception networks (like YOLOPv2) and motion planning using Model Predictive Control.
Integrating high-precision GNSS sensors (u-blox), telemetry kits, and ESP32 microcontrollers for real-time data transmission and wearable applications.
Implementing advanced feature extraction techniques, such as iris segmentation and Local Binary Pattern analysis for biometric systems.
Optimizing large language models for limited hardware using 4-bit quantization, Unsloth, and lightweight embedding models for robust RAG pipelines.
Ready to collaborate on the next generation of AI and cloud solutions?
Email: [email protected]
GitHub: github.com/usmanmallana
LinkedIn: linkedin.com/in/muhammad-usman-munir