Ankush Rastogi

Data Science & Analytics, AI/Machine Learning, My specific area of expertise lies at the intersection of data engineering and artificial intelligence, with a strong focus on building scalable systems for real-time analytics and conversational AI. Over the past decade, I’ve designed and implemented data pipelines that power AI-driven insights in industries like telephony and CRM. I specialize in architecting end-to-end data solutions; from ingestion and transformation to model deployment, ensuring that AI systems are both reliable and efficient. A significant part of my work involves integrating large language models and machine learning algorithms into production environments to extract insights from unstructured data, such as voice transcripts and customer interactions. Beyond engineering, I also contribute to the research community through peer reviewing scholarly articles and writing technical papers on generative AI, data privacy, and responsible AI practices. I’m deeply interested in how AI can be applied ethically and effectively to solve real-world problems, especially in underserved domains. Whether it’s optimizing cloud infrastructure for inference speed, mentoring at hackathons, or evaluating innovative technical solutions, my expertise consistently centers around creating intelligent systems that are impactful, scalable, and grounded in practical use cases.