Muhammad Aqib

I’m a DevOps and Cloud Engineer with 1+ year of internship experience designing, implementing, and maintaining Agile software development processes. I focus on moving complex systems from training and experimentation to production through automated pipelines, containerization, and orchestration.

In my DevOps / MLOps Intern role (Onsite), I architected a modular, automated ML pipeline using PyTorch for data ingestion, distributed preprocessing, experiment tracking, model quantization, and artifact generation. I also engineered fully automated build pipelines that transitioned models into production-ready embedded formats, reducing manual handoff time between R&D and hardware teams by 80%.

I build reliability into every step: self-healing retry mechanisms and fault-tolerant data loaders handle network timeouts and transient cloud failures without human intervention. I integrate observability stacks to monitor latency, throughput, and resource utilization in real time, and I bring the same automation mindset to cloud-native deployments using Terraform and GitHub Actions—backed by CI/CD, health checks, and security-focused practices.