Swaroop Paliwal

Background

About Swaroop Paliwal

Lead Machine Learning Engineer with over 6 years of experience designing and deploying scalable AI solutions across diverse domains, including computer vision, LLMs, and multi-agent systems. I excel in building end-to-end AI systems that streamline workflows, enhance decision-making, and deliver measurable business outcomes. At MIC Global, I lead AI initiatives, including the development of MICY, a multi-agent customer support automation system, and MICY-Vision, a claims processing solution. These projects have significantly reduced costs and improved operational efficiency. My expertise in MLOps, cloud platforms like Azure, and advanced retrieval techniques ensures secure, reliable, and high-performing deployments. Previously, I worked at ClearQuote, where I developed advanced damage detection models and MLOps pipelines, driving innovation in automotive claims automation. My experience also includes impactful AI projects in recommendation systems, predictive maintenance, and edge AI optimization. With a strong track record of leading teams and delivering impactful AI solutions, I am passionate about leveraging cutting-edge technologies to solve complex challenges and create value. Skills Highlights: Expertise in Large Language Models (LLMs), RAG, and multi-agent AI systems Proficiency in computer vision technologies such as PyTorch, TensorFlow, Mask RCNN, and Faster RCNN Advanced MLOps practices, including CI/CD and real-time monitoring Skilled in cloud platforms like Azure and AWS Team leadership and delivering production-ready AI systems Let’s connect to explore how AI can drive innovation and transformation!