Innovating at the intersection of NLP, deep learning, and generative AI to solve real-world challenges

I am a skilled Machine Learning Engineer with a primary focus on Natural Language Processing (NLP). Currently, I contribute to cutting-edge projects where I apply my expertise in developing and fine-tuning deep learning models for NLP applications. Pursuing my Master's degree at LUMS has equipped me with advanced knowledge in ML, deep learning, and generative AI models. My academic journey has been complemented by hands-on experience as an Experienced RPA Developer, showcasing my versatility in both traditional automation and advanced machine learning.
My commitment to pushing the boundaries of technology is reflected in my academic pursuits and professional endeavors. At LUMS, I've honed my skills in building deep and generative AI models, enriching my understanding of the intricacies of ML. I leverage this knowledge daily in my role at Ashlar, contributing to innovative solutions in the field of NLP.

Beyond my academic and professional roles, my experiences have instilled in me a creative and innovative approach to problem-solving. I am passionate about applying deep learning techniques, including data analysis, regression, classification, detection, and clustering, to solve real-world challenges. As I navigate this dynamic intersection of technology and innovation, I am eager to explore opportunities that align with my expertise and drive for impactful contributions in the realms of Deep Learning, Data Science, and Machine Learning Engineering

Work Terms

I can work for you 8 hrs a day as I am full time freelancer.