Islāmābād, Pakistan
𝗔𝘀𝗽𝗶𝗿𝗶𝗻𝗴 𝗔𝗜𝗢𝗽𝘀 𝗣𝗿𝗼𝗳𝗲𝘀𝘀𝗶𝗼𝗻𝗮𝗹 | 𝗕𝗿𝗶𝗱𝗴𝗶𝗻𝗴 𝘁𝗵𝗲 𝗴𝗮𝗽 𝗯𝗲𝘁𝘄𝗲𝗲𝗻 𝗜𝗻𝘁𝗲𝗹𝗹𝗶𝗴𝗲𝗻𝘁 𝗔𝗜 𝗮𝗻𝗱 𝗔𝘂𝘁𝗼𝗺𝗮𝘁𝗲𝗱 𝗜𝗧 𝗢𝗽𝗲𝗿𝗮𝘁𝗶𝗼𝗻𝘀. I am passionate about the intersection of 𝗔𝗿𝘁𝗶𝗳𝗶𝗰𝗶𝗮𝗹 𝗜𝗻𝘁𝗲𝗹𝗹𝗶𝗴𝗲𝗻𝗰𝗲 and 𝗗𝗲𝘃𝗢𝗽𝘀, with a focus on automating and optimizing IT infrastructure. My goal is to build resilient systems using observability, anomaly detection, and predictive analytics to drive smarter operations. With a strong foundation in 𝗖𝗶𝘀𝗰𝗼 𝗡𝗲𝘁𝘄𝗼𝗿𝗸𝗶𝗻𝗴 (𝗗𝗲𝘃𝗡𝗲𝘁) and 𝗔𝗪𝗦 𝗖𝗹𝗼𝘂𝗱 𝗔𝗜, I approach AIOps from a security-first and automation-heavy perspective. 𝗧𝗲𝗰𝗵𝗻𝗶𝗰𝗮𝗹 𝗙𝗼𝗰𝘂𝘀 & 𝗖𝗲𝗿𝘁𝗶𝗳𝗶𝗰𝗮𝘁𝗶𝗼𝗻𝘀: 𝗔𝗜 & 𝗠𝗮𝗰𝗵𝗶𝗻𝗲 𝗟𝗲𝗮𝗿𝗻𝗶𝗻𝗴: Certified AWS AI Practitioner, exploring Generative AI and building intelligent cloud workflows. 𝗡𝗲𝘁𝘄𝗼𝗿𝗸 𝗔𝘂𝘁𝗼𝗺𝗮𝘁𝗶𝗼𝗻: Cisco DevNet Associate, leveraging Python and REST APIs to treat infrastructure as code. 𝗜𝗻𝗳𝗿𝗮𝘀𝘁𝗿𝘂𝗰𝘁𝘂𝗿𝗲 𝗦𝗲𝗰𝘂𝗿𝗶𝘁𝘆: Cisco Cybersecurity trained, ensuring that automation and AI integration never compromise system integrity. 𝗧𝗼𝗼𝗹𝘀 & 𝗘𝗰𝗼𝘀𝘆𝘀𝘁𝗲𝗺: Python, TensorFlow, Docker, Kubernetes, and Prometheus. I am constantly building projects that strengthen my understanding of the AI + IT Operations space. I believe the future of tech is autonomous, and I’m dedicated to mastering the tools that make it possible. 𝗟𝗲𝘁’𝘀 𝗰𝗼𝗻𝗻𝗲𝗰𝘁! I’m always open to collaborating on AIOps projects, discussing cloud monitoring, or sharing knowledge on the latest in network automation.
Completed an intensive internship assessment focused on integrating Artificial Intelligence with IT Operations (AIOps). Explored Observability and Anomaly Detection to optimize system performance. Utilized Python and Cloud Monitoring tools to build predictive analytics models.