As an AI Engineer at National Language Processing Lab (NLPL), I develop and advance state-of-the-art automatic speech recognition (ASR) systems by leveraging transformer architectures and utilizing Python, Torch, and other relevant libraries. I design, implement, and optimize ASR models to achieve high accuracy and performance, and collaborate with the team to explore innovative approaches and stay updated with the latest advancements in ASR, transformers, and related fields. I conduct experiments, prototype new models, and contribute to research papers and publications. Previously, I worked as a software engineer at SDGs Academy, where I developed and deployed cloud-based applications and services using Azure, and created interactive and insightful dashboards and reports using Power BI. I also managed development and research teams, and facilitated communication and coordination among stakeholders. I graduated with a bachelor's degree in Computer Software Engineering from Foundation University in 2018, and completed a nanodegree program in Machine Learning from Udacity in 2020. I have multiple certifications in C#, Java, and Basic Java. I am passionate about applying my skills and knowledge to solve real-world problems and create positive impact.