Mohammad Daoud

Background

About Mohammad Daoud

I am a seasoned Data Scientist and AI Engineer with a PhD in Computer Science and over a decade of hands-on experience in designing, developing, and deploying AI-driven solutions. My key areas of expertise include Machine Learning (ML), Generative AI (Gen AI), Large Language Models (LLM), Time Series Forecasting, and Recommendation Systems. I specialize in building end-to-end AI models, from data gathering and preprocessing to model training, deployment, and optimization. My deep technical skills are backed by extensive certifications, including Microsoft Certified Azure Data Scientist and Artificial Intelligence Engineer, AWS Certified Cloud Practitioner, and Deep Learning from Coursera. I’m proficient in using advanced AI frameworks like LangChain, LLaMA2, and Hugging Face for LLM applications, as well as creating AI-driven forecasting models and recommendation engines that deliver high business impact. Throughout my career, I’ve led AI/ML projects that improve decision-making processes, optimize operational workflows, and enhance customer experiences across industries. From developing LLM-based solutions for RAG (Retrieval-Augmented Generation) models, NLP systems, to designing predictive models for time series data, I leverage cutting-edge technologies to solve complex business challenges. Some highlights of my professional journey include: Leading AI projects at STC Solutions, where I built time series forecasting models and LLM applications for business intelligence. Implementing chatbots, recommendation systems, and customer churn prediction models at Accenture and Monster India. Driving social inferencing, anomaly detection, and sentiment analysis projects at Wipro using advanced AI/ML techniques. I’m passionate about continuously evolving in the AI domain, applying the latest research and technologies to create scalable solutions.