I am a passionate 𝐌𝐚𝐜𝐡𝐢𝐧𝐞 𝐋𝐞𝐚𝐫𝐧𝐢𝐧𝐠 𝐄𝐧𝐠𝐢𝐧𝐞𝐞𝐫 with 𝐨𝐯𝐞𝐫 𝐭𝐡𝐫𝐞𝐞 𝐲𝐞𝐚𝐫𝐬 of experience in 𝐝𝐞𝐯𝐞𝐥𝐨𝐩𝐢𝐧𝐠, 𝐨𝐩𝐭𝐢𝐦𝐢𝐳𝐢𝐧𝐠, and 𝐝𝐞𝐩𝐥𝐨𝐲𝐢𝐧𝐠 Machine Learning models at scale. My expertise spans 𝐂𝐨𝐦𝐩𝐮𝐭𝐞𝐫 𝐕𝐢𝐬𝐢𝐨𝐧, 𝐍𝐚𝐭𝐮𝐫𝐚𝐥 𝐋𝐚𝐧𝐠𝐮𝐚𝐠𝐞 𝐏𝐫𝐨𝐜𝐞𝐬𝐬𝐢𝐧𝐠𝐠 (𝐍𝐋𝐏), and 𝐃𝐞𝐞𝐩 𝐋𝐞𝐚𝐫𝐧𝐢𝐧𝐠, with a growing interest in the transformative potential of 𝐆𝐞𝐧𝐞𝐫𝐚𝐭𝐢𝐯𝐞 𝐀𝐈 (e.g., large language models and diffusion models).One of my notable achievements includes leading a team to acquire and train an object detection model on 𝐨𝐯𝐞𝐫 1 𝐦𝐢𝐥𝐥𝐢𝐨𝐧 𝐢𝐦𝐚𝐠𝐞𝐬 to significantly enhance recall for a retail application, and productionizing the system on Jetson Orin Nano and Axis Communication Cameras. Currently pursuing an MS in Robotics & AI at the National University of Sciences & Technology (NUST), Islamabad, I currently working on my MS thesis titled "𝑵𝒐𝒗𝒆𝒍 𝑵𝒆𝒖𝒓𝒂𝒍 𝑵𝒆𝒕𝒘𝒐𝒓𝒌 𝑨𝒓𝒄𝒉𝒊𝒕𝒆𝒄𝒕𝒖𝒓𝒆 𝒇𝒐𝒓 𝑩𝒓𝒂𝒊𝒏 𝑻𝒖𝒎𝒐𝒓 𝑺𝒆𝒈𝒎𝒆𝒏𝒕𝒂𝒕𝒊𝒐𝒏 𝒊𝒏 𝑴𝒖𝒍𝒕𝒊𝒎𝒐𝒅𝒂𝒍 𝑴𝑹 𝑰𝒎𝒂𝒈𝒆𝒔" The focus of my work is to design a state-of-the-art hybrid neural network that captures spatial and channel-wise features to identify subtle anomalies in brain regions. The proposed method has outperformed 10 𝐂𝐍𝐍 𝐚𝐧𝐝 𝐓𝐫𝐚𝐧𝐬𝐟𝐨𝐫𝐦𝐞𝐫-𝐛𝐚𝐬𝐞𝐝 models on the 𝐁𝐫𝐚𝐓𝐒 2023 brain tumor dataset. I love continuous learning and staying ahead of emerging trends in AI. I have earned 15+ certifications in Deep Learning, Machine Learning, and Generative AI. Looking ahead, I aim to leverage my skills to solve impactful problems, particularly in healthcare AI, Generative AI, and multimodal AI systems. I am driven by the vision of creating trustworthy, adaptable AI models that unify diverse data modalities and capitalize by their scale and the large dataset.